population estimates: 1983 to 2014...2019/12/17 · march 2014 as the reference point. it was the...

POPULATION ESTIMATES: 1983 TO 2014

The Republic of the Union of Myanmar

Department of PopulationMinistry of Labour, Immigration and PopulationWith technical assistance from The World Bank and UNFPA

September 2019

This report has been possible because of the generous financial support of GAVI, the governments of Australia, Denmark, Finland, and the United Kingdom.

POPULATION ESTIMATES: 1983 TO 2014

Foreword

When the results of the 2014 Population and Housing Census were published, it appears that the population projections, produced in 1990 based on the 1983 Population and Housing Census and survey information, had overestimated the population by approximately 15 percent. It therefore became necessary to produce reliable estimates of the population during the intercensal period of 1983 to 2014. In order to derive a continuum of population time series data, which is needed by users for analysis and modeling, the National Strategy for the Development of Statistics (NSDS) tasked the Department of Population with the mandate to produce reliable estimates of the population during the intercensal period of 1983 to 2014.

This report uses the cohort-component method to produce population estimates for the 1983 to 2014 intercensal period, which are consistent with both the 1983 and 2014 Population and Housing Censuses. The cohort-component method starts from the base population of 1983, and uses mortality, fertility and migration to calculate the future size of cohorts. The estimates are produced at the Union and state/region levels. In both cases, the population is estimated by sex and by age group.

With the publication of this report, we now have a reliable and unbroken population series data for Myanmar. As stated in the NSDS, this represents a critical input that will be used by other data producers to generate long-term time series for population-based estimates such as GDP per capita. The production of a wide range of long-term time series will expand the possibility for social and economic modelling, and ultimately equip policymakers with better information in the design of policies and programs aiming at achieving the country’s development objectives as set in the Myanmar sustainable Development Plan (MSDP).

On behalf of the Government of Myanmar, I would like to give special thanks to the Department of Population for its leading role in the production of this report. I also would like to thank the United Nations Population Fund (UNFPA) and the World Bank for the technical and financial assistance they provided to conduct this analysis.

H.E U Thein SweMinister for Labour, Immigration and PopulationThe Republic of the Union of Myanmar

IPOPULATION ESTIMATES: 1983 TO 2014

Table of Contents

List of Tables ................................................................................................................................................................................................... II

List of Figures ................................................................................................................................................................................................ III

Chapter 1. Introduction ............................................................................................................................................................................ 1

Chapter 2. The intercensal sources of data .............................................................................................................................. 3

2.1 Fertility ........................................................................................................................................................................................... 3

2.2 Mortality ........................................................................................................................................................................................ 8

2.3 Migration .................................................................................................................................................................................... 13

Chapter 3. The 2014 and 1983 Population and Housing Censuses ......................................................................163.1 Adjustment of the population from the 1983 Census .............................................................................................. 17

Chapter 4. The projection of the Union population, 1983 to 2014 ...........................................................................21

Chapter 5. Population by state/region ....................................................................................................................................... 30

5.1 The estimate of the state/region total population .................................................................................................... 30

5.2 Estimates of state/region population by age group and sex............................................................................... 33

Chapter 6. Conclusion .......................................................................................................................................................................... 34

References .................................................................................................................................................................................................... 35

Glossary of terms and definitions ................................................................................................................................................. 36

List of the Contributors ......................................................................................................................................................................... 38

Appendices ................................................................................................................................................................................................... 39

Appendix A: Population projections by age group and sex, 1983 to 2014 ...............................................39Appendix B: Projected vital events, 1983 to 2014.....................................................................................47Appendix C: Population projections by single age and sex, 1983 to 2014 ...............................................54Appendix D: Population projections for each state and region by age group and sex, 1983 to 2014 ......86

II POPULATION ESTIMATES: 1983 TO 2014

List of Tables

Table 2.1 Total fertility rates from several sources, 1972-2014 ..................................................................................4

Table 2.2 Total fertility rates from several sources, observed and estimated with a second-degree polynomial, 1972 to 2014 .................................................................................................... 5

Table 2.3 Age-specific fertility rates and relative age-specific fertility rates, 1983 and 2014 Censuses ............................................................................................................................................6

Table 2.4 Infant mortality rates, several sources, 1968 to 2012 .................................................................................8

Table 2.5 Estimated infant mortality rates with a third-degree polynomial disaggregated by sex, 1981 to 2014 ................................................................................................................... 10

Table 2.6 Life table for Myanmar for the 12-month period prior to the 2014 Census ..................................11

Table 2.7 Life expectancy at birth, 1981 to 2014 ................................................................................................................12

Table 2.8 International net migration by sex, 1982 to 2017 ........................................................................................ 14

Table 2.9 International migration by age group and sex measured as the number of household members living abroad, 2014 Census ..................................................................................15

Table 3.1 Adjustment of the population aged 0 to 4 years from the 1983 Census .......................................18

Table 3.2 Adjustment of the 1983 Census population .................................................................................................. 19

Table 4.1 Comparison between the 2014 projected population based on the 1983 Census and the 2014 Census populations .........................................................................................22

Table 4.2 Three estimates of the total fertility rate: Second degree polynomial equation, age distribution from both censuses and UNPD estimates, 1983 to 2014 .......................................... 24

Table 4.3 Comparison between the population projections on the basis of the 1983 adjusted census and the 2014 Census ................................................................................................ 26

Table 4.4 Projected populations – total population, and by vital event and selected age group, 1983 to 2014 .........................................................................................................................28

Table 5.1 Population growth, state/region, 1983 to 2014 ............................................................................................ 30

Table 5.2 Intercensal population estimate according to state/region, by sex, 1983 to 2014 ..................31

IIIPOPULATION ESTIMATES: 1983 TO 2014

List of Figures

Figure 2.1 Total fertility rates from several sources and estimated trend based on a second-degree polynomial, 1972 to 2014 ....................................................................................................5

Figure 2.2 Age-specific fertility rates and relative age-specific fertility rates, 1983 and 2014 Censuses ...........................................................................................................................................7

Figure 2.3 Infant mortality rates according to several sources and estimated trend based on a third-degree polynomial, 1968 to 2012 .......................................................................9

Figure 2.4 Life expectancy at birth by sex, 1981 to 2014 .............................................................................................13Figure 2.5 Net international outmigrants by sex, 1982 to 2017 ................................................................................14Figure 2.6 Age-sex composition of international migrants, 2014 Census ..........................................................15Figure 3.1 Comparison between the 2014 Census population and

the United Nations Population Division estimate for 2014 ..................................................................16Figure 3.2 Comparison between the United Nations Population Division

estimate for 1983 and the 1983 Census .........................................................................................................17Figure 3.3 Comparison between the adjusted 1983 Census population

and United Nations Population Division 1983 population estimate ...............................................20Figure 4.1 Comparison between the 2014 projected population based on

the 1983 Census and the 2014 Census population .................................................................................23Figure 4.2 Three estimates of the total fertility rate: Second-degree polynomial equation,

age distribution of population of 1983 and 2014 Censuses, and UNPD estimates, 1983 to 2014 .....................................................................................................................................................................25

Figure 4.3 Comparison between the population projection on the basis of the 1983 adjusted census and the 2014 Census ...............................................................................................27

1POPULATION ESTIMATES: 1983 TO 2014

CHAPTeR 1. Introduction

The 2014 Myanmar Population and Housing Census (2014 Census) was conducted with midnight of 29 March 2014 as the reference point. It was the first census in 31 years; the previous two censuses were conducted in 1983 and 1973, respectively. In 1990, based on the 1983 Census and survey information, population projections were prepared When the results of the 2014 Census were published, it was evident that the projections had overestimated the population by approximately 15 percent. There is therefore no reliable estimate of the population during the intercensal period of 1983 to 2014.

Population estimates are essential to calculate several important development indicators, such as gross domestic product (GDP) per capita, school enrollment, immunization requirements, and vital statistics, among others. Consequently, under- or overestimated population projections impact on several indicators across the national statistical system, with adverse effects for national and sub-national level planning and budgeting across all key sectors. The lack of accurate population estimates for the intercensal period (1983-2014), essential for many government agencies, has become an obstacle to updating time series data for a number of population-based statistical indicators.

The purpose of the present activity is to prepare a population estimate for the 1983 to 2014 intercensal period, which conforms to both the 1983 and 2014 Population and Housing Censuses. The estimates are presented at the Union and state/region levels. In both cases the population is estimated by sex and by age group.

It is important to emphasize that this exercise is an intercensal population estimate as it refers to a period between two censuses (1983 and 2014) and considers the results of both periods. A major obstacle is that the gap of 31 years between these two censuses is extremely long. After analyzing the available information, and considering several methodological issues, the most suitable approach to estimate the population during the period of interest (1983-2014) is through a forward projection method, with the adjusted 1983 Census population as a base population. The population numbers obtained using this projection for 2014 should be as close as possible to the 2014 Census. Since the projections are estimates, an exact match with the 2014 population count is not possible, but a similar total population and age and sex structure is expected.1

For this particular projection, the cohort-component method is used to project the Union population by age and by sex. It involves calculating the future size of cohorts, considering the effects of population components – mortality, fertility and migration. Its principle is to advance from a base population (in this case the 1983 adjusted census population) in five-year increments by five-year cohorts. In its most basic form, this method provides the population by sex and five-year age group for the end of each quinquennium of the projection period. More advanced versions of the method provide the population by single age and for continuous years, in this case for ages less than one year to 80 years and above, and for each year between 1983 and 2014.

For the population by state/region, in addition to the cohort-component method, several other approaches are utilized; the semi-component method, the ratio method and the mathematical method

1 The difference between the projected 2014 population and the adjusted 2014 Census population is only 0.02 percent with a similar age-sex composition.

2 POPULATION ESTIMATES: 1983 TO 2014

being the most used. After diverse tests and analyses, the mathematical method was used to project the population at the state/region level. The main considerations were the lack of information available at this level (fertility, mortality and migration), changes in the boundaries of states/regions, natural disaster, and the emergence of the new capital Nay Pyi Taw. The total population by sex for each state/region is projected by assuming an exponential growth between the two census dates. Projected populations by state/region must sum to national totals for consistency; populations are therefore prorated according to the Union total.

After projecting the total population by state/region, and adjusting to the Union total, populations are disaggregated by age group using an approach called “by various terms”: iterative proportional fitting, a contingency table, two-way raking, and square table. This approach iteratively adjusts columns and rows of a two-way table. This approach is explained in more detail in the report.

This report starts with a presentation of available data for this estimation exercise and continues with a description of the projection of the Union population, including a methodological discussion, and a description of the adjustment to the population reported in the 1983 Census. The approaches employed to project the state/region populations are then presented (total population and by age and sex) and discussed vis a vis alternative strategies. Concluding remarks are proposed, primarily regarding the reliability of the available sources of data. The complete results of the projections are presented in four appendices.


CHAPTeR 2. The intercensal sources of data

Although the intercensal period is very long, from 1983 to 2014, several sources of demographic data are available. In addition to the estimates that can be obtained by indirect methods from the 2014 and 1983 Censuses, several demographic surveys are available (1991 Myanmar Population Change and Fertility Survey; the 1997, 2001 and 2007 Fertility and Reproductive Health Surveys; the 2015-2016 Demographic and Health Survey; and the 2000 and 2009-2010 Multiple Indicator Cluster Survey; as well as administrative records). In principle, these estimates of population components may give an insight into the population dynamics of the country during the period of interest (1983-2014), and identify possible levels and trends of mortality, fertility and migration.

An additional source of data for this exercise is the World Population Prospects (2017), prepared by the United Nations Population Division (UNPD). It contains an estimate and projection of the national population of Myanmar by age group and sex (1950 to 2100).ii It also includes estimates of mortality, fertility and migration. Although this population estimate can be used as the national level estimate, and is useful for comparison purposes, a more reliable and consistent estimate can be produced by exploring and analyzing population dynamics and the socio-economic context in a more detailed, comprehensive and precise way.

2.1 Fertility

Table 2.1 shows the total fertility rates (TFRs) according to several sources.iii The TFRs are grouped according to the type of estimate. Table 2.2 shows the same TFRs but ranked from the earliest year to the most recent, regardless of source. This information is presented as a scatter graph in Figure 2.1. Based on this graph a declining trend can be identified. After examining several trend lines, the second-degree polynomial (shown in the graph) was considered the most adequate. Note that the corresponding R2 value is very high, about 0.93 (or 93 percent). This value indicates the degree of fitness of the trend line with scatter graph values. The nearer to 1, the better the fitness of the curve. Table 2.2 also shows the TFR values estimated with the second-degree polynomial. They are not the same as the observed values, but they are very near. In summary, Figure 2.1 shows the fertility trend during the intercensal period (1983 to 2014) as suggested by the available information.


Table 2.1 Total fertility rates from several sources, 1972-2014

Source Length of period

Midpoint ofperiod TFR

Births during the past 12 months

2014 Census 1 year 2013.8 2.51

1983 Census 1 year 1982.7 4.73

1973 Census 1 year 1973.2 5.40

1991 Population Changes and Fertility Survey 1 year 1990.5 2.91

1997 Fertility and Reproductive Health Survey 1 year 1996.3 2.72

2001 Fertility and Reproductive Health Survey (adjusted) 1 year 2001.3 2.79

2007 Fertility and Reproductive Health Survey (adjusted) 1 year 2006.5 2.38

Birth history estimates

1991 Population Changes and Fertility Survey 5 years 1988.5 3.52

1997 Fertility and Reproductive Health Survey 5 years 1994.3 2.90



2001 Fertility and Reproductive Health Survey 1 year 2001.3 2.39


1991 PCFS own-children estimates

1991 Population Changes and Fertility Survey 1986-90 5 years 1988.5 3.42



1991 Population Changes and Fertility Survey 1990 1 year 1990.5 2.86















Source: Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Fertility and Nuptiality. Ministry of Labour, Immigration and Population. Nay Pyi Taw, Myanmar. Table 3.1, p.19.


Table 2.2 Total fertility rates from several sources, observed and estimated with a second-degree polynomial, 1972 to 2014

YearTotal fertility rate

YearTotal fertility rate

Observed estimated Observed estimated

1972.3 5.40 5.59 1994.3 2.90 3.16

1976.5 4.71 4.99 1996.5 3.00 3.01

1977.5 4.59 4.86 1996.3 2.72 3.02

1978.5 5.04 4.73 1998.5 2.93 2.89

1979.5 4.27 4.60 2000.5 2.90 2.78

1980.5 4.80 4.48 2000.3 2.44 2.79

1982.7 4.73 4.23 2000.5 2.87 2.79

1983.5 4.38 4.13 2001.3 2.79 2.75

1984.5 4.43 4.03 2004.5 2.74 2.62

1986.5 3.93 3.82 2006.5 2.61 2.55

1988.5 3.68 3.63 2007.5 2.55 2.53

1990.5 2.91 3.45 2013.8 2.51 2.44

Source: Table 2.1 and Figure 2.1.

Figure 2.1 Total fertility rates from several sources and estimated trend based on a second-degree polynomial, 1972 to 2014

Source: Table 2.1.

y = 0.0017751408x2 - 7.1517531278x + 7205.7540608716R = 0.9252679352

0.00

1.00

2.00

3.00

4.00

5.00

6.00

1970 1975 1980 1985 1990 1995 2000 2005 2010 2015


The TFR indicates the level of fertility, but it is also important to consider the age composition. This variable is measured by age-specific fertility rates and, more specifically, by the relative age-specific fertility rates. Table 2.3 and Figure 2.2 show these measures according to the 1983 and 2014 Censuses. The age-specific fertility rates indicate the number of births occurring during a given year per 1,000 women of reproductive age, classified in single or five-year age groups. The relative age-specific fertility rates indicate the proportion that each age or age group of women contribute to the total number of births occurring during a given year.iv

Table 2.3 Age-specific fertility rates and relative age-specific fertility rates, 1983 and 2014 Censuses

Age groupAge-specific fertility rates Relative fertility

1983 Census 1983

2014 Census 2014

1983 Census 1983

2014 Census 2014

15-19 42.5 33.2 0.04495 0.06628

20-24 185.5 108.7 0.19621 0.21701

25-29 227.4 129.2 0.24053 0.25794

30-34 210.2 112.4 0.22234 0.22440

35-39 171.2 76.5 0.18109 0.15273

40-44 87.8 33.4 0.09287 0.06668

45-49 20.8 7.5 0.02200 0.01497

TFR 4.73 2.50 1.00 1.00

Source: Department of Immigration and Manpower. 1986. Burma. 1983 Population Census. Ministry of Home and Religious Affairs, The Socialist Republic of the Union of Burma, Table A-16, p. 1-35. Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Fertility and Nuptiality. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar. Table 2.2, p.11.


Figure 2.2 Age-specific fertility rates and relative age-specific fertility rates, 1983 and 2014 Censuses

Source: Table 2.3.

Fertility has experienced a substantial decline during the intercensal period; the age composition of fertility has also gone through modifications. A comparison between the two curves indicates fertility has declined mainly in the upper reproductive ages, but with a concentration at the middle and youngest ages.

0.00000

0.05000

0.10000

0.15000

0.20000

0.25000

0.30000

15-19 20-24 25-29 30-34 35-39 40-44 45-49

Census 1983 Census 2014


2.2 MortalityThe most adequate indicator of mortality for a projection exercise is the survival rate by age, which is a function of a life table.v For the purpose of population projections, therefore, it is necessary to construct life tables. A life table for Myanmar, using 2014 Census data, was constructed as part of an earlier mortality analysis.vi

The construction of life tables for this projection exercise starts with the analysis of infant and child mortality.vii Table 2.4 shows the estimates of infant mortality from 1968 to 2012 according to several sources, including the 2014 Census. Figure 2.3 shows the respective scatter graph and trend line. After testing different trend lines a third-degree polynomial was selected as the line that best fits the scatter graph. The respective equation is included in Figure 2.3.

Table 2.4 Infant mortality rates, several sources, 1968 to 2012

Source Year Infant mortality rate

1983 Census 1968.7 147.6

1983 Census 1972.1 141.6

1983 Census 1975.0 128.6

1983 Census 1977.5 119.3

1991 Population Changes and Fertility Survey 1978.0 101.6

1983 Census 1979.5 109.3

1983 Census 1981.1 100.0


1997 Fertility and Reproductive Health Survey 1984.0 74.1









2014 Census 1999.9 96.7

2014 Census 2003.3 89.5


2014 Census 2006.1 80.7

2014 Census 2008.5 72.7

2014 Census 2010.5 65.6

2014 Census 2012.0 61.8

Source: Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Mortality. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar. Table 2.3, p.10.


Figure 2.3 Infant mortality rates according to several sources and estimated trend based on a third-degree polynomial, 1968 to 2012

Source: Table 2.4.

Table 2.5 shows the infant mortality rates estimated with the third-degree polynomial, disaggregated by sex. The infant mortality rate by sex was examined according to several surveys. In general, the male infant mortality rate is much higher than that of females. Although the difference varies substantially between survey, for this estimate the most satisfactory sex ratio is about 106 male infant deaths per 100 female infant deaths. Using this ratio, the infant mortality rate for both sexes is disaggregated by sex as shown in Table 2.5.

y = -0.002469775784686x3 + 14.81x2 - 29,605.13x + 19,726,509.6R = 0.84

0.0

20.0

40.0

60.0

80.0

100.0

120.0

140.0

160.0

180.0

1965.0 1970.0 1975.0 1980.0 1985.0 1990.0 1995.0 2000.0 2005.0 2010.0 2015.0


Table 2.5 estimated infant mortality rates with a third-degree polynomial disaggregated by sex, 1981 to 2014

Year Both sexes Male Female Year Both sexes Male Female

1981.5 0.09746 0.10330 0.09161 1998.5 0.07775 0.08242 0.07309

1982.5 0.09495 0.10064 0.08925 1999.5 0.07736 0.08200 0.07272

1983.5 0.09268 0.09824 0.08712 2000.5 0.07696 0.08157 0.07234

1984.5 0.09064 0.09608 0.08520 2001.5 0.07653 0.08112 0.07194

1985.5 0.08881 0.09414 0.08349 2002.5 0.07606 0.08063 0.07150

1986.5 0.08719 0.09242 0.08196 2003.5 0.07555 0.08008 0.07101

1987.5 0.08574 0.09089 0.08060 2004.5 0.07496 0.07946 0.07046

1988.5 0.08447 0.08954 0.07940 2005.5 0.07429 0.07875 0.06983

1989.5 0.08335 0.08835 0.07835 2006.5 0.07352 0.07793 0.06911

1990.5 0.08237 0.08731 0.07742 2007.5 0.07264 0.07700 0.06828

1991.5 0.08151 0.08640 0.07662 2008.5 0.07163 0.07593 0.06734

1992.5 0.08076 0.08561 0.07592 2009.5 0.07048 0.07471 0.06625

1993.5 0.08011 0.08492 0.07530 2010.5 0.06918 0.07333 0.06503

1994.5 0.07954 0.08431 0.07477 2011.5 0.06770 0.07176 0.06364

1995.5 0.07903 0.08377 0.07429 2012.5 0.06603 0.06999 0.06207

1996.5 0.07858 0.08329 0.07386 2013.5 0.06417 0.06801 0.06032

1997.5 0.07815 0.08284 0.07346 2014.5 0.06208 0.06581 0.05836


Although the life table function used in population projections and estimates is the survival rate, most programs use life expectancy at birthviii as the input for the mortality level. It is therefore necessary to calculate life tables for each year of the intercensal estimates, and, in addition to infant mortality it is necessary to estimate adult mortality.

To estimate adult mortality, the 2014 Census included a question on the number of deaths in a household during the past 12 months. Sex and age of the deceased were also recorded. Many censuses include a question to collect such information as a source of adult mortality. There are also methods to adjust this data,ix one of which was used in the analysis of mortality for the 2014 Census.x Based on this information from the 2014 Census, which was properly adjusted, and using infant mortality data, a complete life table was constructed. It is presented in Table 2.6 and includes a brief description of each of its functions. Note that this life table applies to the 12-month period prior to the 2014 Census (conducted with midnight of 29 March 2014 as the reference point); nevertheless, it can be used as a model life table for the entire intercensal period.xi


Table 2.6 Life table for Myanmar for the 12-month period prior to the 2014 Census

Age m(x,n) q(x,n) l(x) d(x,n) L(x,n) S(x,n) T(x) e(x) a(x,n)

Males

0 0.07030 0.06671 100,000 6,671 94,892 0.93103 6,017,116 60.2 0.23

1 0.00285 0.01132 93,329 1,056 370,624 0.98868 5,922,224 63.5 1.45

5 0.00097 0.00484 92,273 447 460,246 0.99559 5,551,600 60.2 2.50

10 0.00080 0.00398 91,826 365 458,216 0.99465 5,091,354 55.5 2.50

15 0.00147 0.00734 91,460 671 455,765 0.99088 4,633,138 50.7 2.71

20 0.00222 0.01103 90,789 1,001 451,610 0.98632 4,177,373 46.0 2.67

25 0.00337 0.01674 89,788 1,503 445,432 0.97918 3,725,763 41.5 2.67

30 0.00511 0.02525 88,285 2,229 436,159 0.97035 3,280,331 37.2 2.64

35 0.00690 0.03395 86,055 2,922 423,226 0.96264 2,844,172 33.1 2.59

40 0.00830 0.04066 83,134 3,380 407,417 0.95572 2,420,946 29.1 2.56

45 0.00993 0.04848 79,754 3,866 389,378 0.94523 2,013,529 25.3 2.57

50 0.01290 0.06255 75,887 4,747 368,053 0.92613 1,624,151 21.4 2.60

55 0.01842 0.08825 71,140 6,278 340,863 0.88884 1,256,099 17.7 2.64

60 0.02984 0.13938 64,862 9,041 302,974 0.82515 915,235 14.1 2.64

65 0.04857 0.21750 55,822 12,141 250,000 0.73073 612,261 11.0 2.60

70 0.07929 0.23820 43,681 14,485 182,681 0.60366 362,261 8.3 2.53

75 0.12627 0.35331 29,196 13,924 110,276 0.38592 179,580 6.2 2.44

80 0.22035 ... 15,271 15,271 69,304 ... 69,304 4.5 4.54

Females

0 0.05297 0.05082 100,000 5,082 95,947 0.94730 6,933,432 69.3 0.20

1 0.00204 0.00810 94,918 769 377,705 0.99182 6,837,485 72.0 1.44

5 0.00082 0.00411 94,149 387 469,778 0.99629 6,459,780 68.6 2.50

10 0.00066 0.00331 93,762 310 468,035 0.99615 5,990,002 63.9 2.50

15 0.00092 0.00460 93,452 430 466,233 0.99483 5,521,967 59.1 2.61

20 0.00115 0.00572 93,022 532 463,822 0.99377 5,055,734 54.4 2.58

25 0.00136 0.00680 92,490 629 460,931 0.99232 4,591,912 49.7 2.59

30 0.00175 0.00871 91,861 800 457,389 0.98999 4,130,982 45.0 2.61

35 0.00230 0.01145 91,061 1,043 452,810 0.98689 3,673,593 40.3 2.61

40 0.00300 0.01488 90,018 1,339 446,874 0.98332 3,220,783 35.8 2.60

45 0.00381 0.01886 88,679 1,672 439,418 0.97710 2,773,909 31.3 2.62

50 0.00562 0.02773 87,006 2,413 429,353 0.96676 2,334,491 26.8 2.65

55 0.00814 0.03994 84,594 3,379 415,082 0.94875 1,905,137 22.5 2.67

60 0.01352 0.06554 81,215 5,323 393,810 0.91332 1,490,056 18.4 2.70

65 0.02387 0.11311 75,892 8,584 359,673 0.84878 1,096,245 14.4 2.69

70 0.04374 0.18267 67,308 13,353 305,285 0.74143 736,572 10.9 2.66

75 0.07944 0.28763 53,955 17,981 226,349 0.47518 431,286 8.0 2.59

80 0.17553 ... 35,973 35,973 204,938 ... 204,938 5.7 5.70


Note: m(x,n) = Age-specific central death rate. q(x,n) = Probability of dying between exact ages x and x+n (age-specific mortality rate). l(x) = Number of survivors at age x. d(x,n) = Number of deaths occurring between ages x and x+n. L(x,n) = Number of person-years lived between ages x and x+n. S(x,n) = Survival ratio for persons aged x to x+5 surviving 5 years to ages x+5 to x+10. T(x) = Number of person-years lived after age x. e(x) = Life expectancy at age x. a(x,n) = Average person-years lived by those who die between ages x and age x+n.

Source: Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Mortality. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar. Table 3.2, p.22-23.

* For ages 70 and 75, the q(n,x) from the North Model were used.

It is possible to obtain a complete life table using the value of the infant mortality estimates (Table 2.5) and the model life table calculated from the 2014 Census. This can be generated using the program MATCH from UNPD’s demographic package MORTPAK.xii This program requires any life table function at any given age and a model life table, which can be a United Nations model, a Coale-Demeny model, or a user defined model. By inputting infant mortality, the program generates a life table (with the structure of the model life table). As indicated above, the life table constructed on the basis of the 2014 Census data was used as a model life table.

As suggested earlier, the most important function of a life table is the life expectancy at birth or, in symbols, e(0). The respective life tables for the projection period are presented in Table 2.7 and Figure 2.4. Life expectancy at birth reflects the overall mortality level of a population. It summarizes the mortality level and pattern that prevail across all age groups – children and adolescents, adults and the elderly. It is the most used indicator of mortality in a population.

Table 2.7 Life expectancy at birth, 1981 to 2014

Yeare(0)

Yeare(0)

Male Female Male Female

1981.5 53.27 59.19 1998.5 57.60 64.00

1982.5 53.82 59.79 1999.5 57.69 64.10

1983.5 54.31 60.34 2000.5 57.78 64.20

1984.5 54.75 60.83 2001.5 57.87 64.30

1985.5 55.15 61.28 2002.5 57.98 64.42

1986.5 55.51 61.67 2003.5 58.09 64.55

1987.5 55.82 62.03 2004.5 58.23 64.70

1988.5 56.11 62.34 2005.5 58.38 64.86

1989.5 56.35 62.61 2006.5 58.55 65.06

1990.5 56.57 62.86 2007.5 58.75 65.28

1991.5 56.76 63.07 2008.5 58.98 65.53

1992.5 56.93 63.25 2009.5 59.24 65.82

1993.5 57.07 63.41 2010.5 59.54 66.15

1994.5 57.20 63.55 2011.5 59.88 66.53

1995.5 57.31 63.68 2012.5 60.26 66.96

1996.5 57.41 63.79 2013.5 60.69 67.44

1997.5 57.51 63.90 2014.5 61.18 67.98

Source: Tables 2.5 and 2.6


Figure 2.4 Life expectancy at birth by sex, 1981 to 2014

Source: Table 2.7

2.3 Migration

A projection exercise of the national population requires information on international migration. In this case, the required information corresponds to the intercensal period, 1983 to 2014, which is not easy to obtain. The population estimates and projections of UNPD, however, include data on international migration obtained from reliable sources. It was decided that any effort to obtain information on international migration would not produce data more reliable than that provided by UNPD.

The sources of the UNPD population estimate are:(a) Statistics on refugees compiled by UNHCR.(b) Assumed trends in labor migration.(c) Estimates of net international migration, obtained as the difference between overall

population growth and a natural increase.

Registration data of Myanmar citizens from the Thailand Statistical Office were also considered.

The UNPD net migration data is for the total population only. Data from the 2014 Census was used to disaggregate the number of net migrants by age and sex. The 2014 Census included two types of questions regarding international migration. Members of conventional households were asked whether the household had any former member living outside Myanmar and several questions were asked about the absent person, including sex, age, and year of departure from the country. Respondents in conventional households were also asked about their place of previous residence, including outside Myanmar as one response option. However, an in-depth analysis of this information indicates that the 2014 Census does not provide usable information on the level of international migration during the years prior to the 2014 Census, although it does provide reliable information on the age-sex pattern of international migrants.xiii The 2014 Census questions on international migration were therefore used to establish the age and sex composition of international migrants provided by UNPD. Tables 2.8 and 2. 9 and Figure 2.5 illustrate the respective information.

50.00

52.00

54.00

56.00

58.00

60.00

62.00

64.00

66.00

68.00

70.0019

81.5

1982

.519

83.5

1984

.519

85.5

1986

.519

87.5

1988

.519

89.5

1990

.519

91.5

1992

.519

93.5

1994

.519

95.5

1996

.519

97.5

1998

.519

99.5

2000

.520

01.5

2002

.520

03.5

2004

.520

05.5

2006

.520

07.5

2008

.520

09.5

2010

.520

11.5

2012

.520

13.5

2014

.5

Male Female


Table 2.8 International net migration by sex, 1982 to 2017

Year Male Female Year Male Female

1982 -6709 -4291 2000 -117595 -75205

1983 -10247 -6553 2001 -134917 -86283

1984 -13784 -8816 2002 -152239 -97361

1985 -17322 -11078 2003 -157582 -100778

1986 -20860 -13340 2004 -162925 -104195

1987 -24397 -15603 2005 -168268 -107612

1988 -36596 -23404 2006 -173611 -111029

1989 -48795 -31205 2007 -178954 -114446

1990 -60993 -39007 2008 -154728 -98952

1991 -73192 -46808 2009 -130501 -83459

1992 -85391 -54609 2010 -106275 -67965

1993 -81438 -52082 2011 -82048 -52472

1994 -77486 -49554 2012 -57822 -36978

1995 -73534 -47026 2013 -48697 -31143

1996 -69581 -44499 2014 -39572 -25308

1997 -65629 -41971 2015 -30448 -19472

1998 -82951 -53049 2016 -21323 -13637

1999 -100273 -64127 2017 -12199 -7801

Source: United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, custom data accessed via website on 13 June 2018. https://esa.un.org/unpd/wpp/DataQuery.

Figure 2.5 Net international outmigrants by sex, 1982 to 2017

Source: Table 2.8.

-200000

-180000

-160000

-140000

-120000

-100000

-80000

-60000

-40000

-20000

0

1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016

Male Female

https://esa.un.org/unpd/wpp/DataQuery


Table 2.9 International migration by age group and sex measured as the number of household members living abroad, 2014 Census

Age group Male Female Total

0 - 5 -1057 -1020 -2077

5 - 10 -557 -539 -1096

10 - 15 -1080 -960 -2040

15 - 20 -8884 -7093 -15977

20 - 25 -19747 -12045 -31792

25 - 30 -16543 -10162 -26705

30 - 35 -11192 -6873 -18065

35 - 40 -7201 -4177 -11378

40 - 45 -3893 -2181 -6074

45 - 50 -1845 -999 -2844

50 - 55 -707 -402 -1109

55 - 60 -269 -161 -430

60 - 65 -89 -73 -162

65 - 70 -32 -40 -72

70 - 75 -18 -22 -40

75 - 80 -12 -14 -26

80+ -55 -40 -95

Total -73181 -46801 -119982

Source: Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar. Table 2.2, p 5.

Figure 2.6 Age-sex composition of international migrants, 2014 Census

Source: Table 2.9.

-0.2000 -0.1500 -0.1000 -0.0500 0.0000 0.0500 0.1000 0.1500 0 - 5 5 - 10 10 - 15 15 - 20 20 - 25 25 - 30 30 - 35 35 - 40 40 - 45 45 - 50 50 - 55 55 - 60 60 - 65 65 - 70 70 - 75 75 - 80 80+

Female Male


CHAPTeR 3. The 2014 and 1983 Population and Housing Censuses

In addition to the intercensal components of population change (mortality, fertility and migration) it is important to consider the total populations of the two censuses in 1983 and 2014. The 1983 Census population is, in this exercise, the base population and the 2014 Census population is the ending population. Since the 1983 Census is the base population, it needs to be properly adjusted for under-enumeration and possible content problems, mainly age declaration.

It is interesting to compare the 2014 Census population (enumerated) with the UNPD projection. Figure 3.1 shows the superimposed pyramids corresponding to these two populations. The pyramids are presented in absolute values (and not percentages) to compare both the age-sex composition of the population and also the population size. They are quite similar; the percentage difference between the total populations is only 0.85 percent.

Figure 3.1 Comparison between the 2014 Census population and the United Nations Population Division estimate for 2014

Sources: United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, custom data accessed via website on 13 June 2018. https://esa.un.org/unpd/wpp/DataQuery. Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar. Table 2.2, p 5.

The situation is quite different with respect to the population of the 1983 Census. Figure 3.2 shows the superimposed pyramids corresponding to the population from the 1983 Census and the estimated population from UNPD for that year. The pyramids are constructed with absolute values. Although the pyramids are, in general, similar, the bases present important differences. Frequently the child population, especially infants, is undercounted in censuses and this seems to be the case in the

2014 UNPD estimate Male2014 Census Male

3000000 2000000 1000000 0 1000000 2000000 30000000-45-9

10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-79

80+

2014 UNPD estimate Female2014 Census Female

Male Female



1983 Census. This information suggests the 1983 Census population needs to be adjusted for under-enumeration before it is used as the base population for this projection exercise. This was completed according to the methodology presented in the following section.

Figure 3.2 Comparison between the United Nations Population Division estimate for 1983 and the 1983 Census

Sources: Department of Immigration and Manpower. 1986. Burma. 1983 Population Census. Ministry of Home and Religious Affairs, The Socialist Republic of the Union of Burma. United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, custom data accessed via website on 13 June 2018. https://esa.un.org/unpd/wpp/DataQuery.

3.1 Adjustment of the population from the 1983 Census

As mentioned above, a major under-enumeration problem in most censuses is the undercounting of children, especially in the age group aged 0 to 4 years. This is strongly suggested by Figure 3.2.

The adjustment procedure is based on the premise that fertility estimated from census data is generally more reliable than the enumeration of children aged 0 to 4 years. Moreover, most censuses include a question on children ever born and children born during a fixed period prior to the census. Using this information, and by applying an indirect method, it is possible to estimate fertility during approximately two to three years before the census. This estimate is, in general, quite reliable.xiv

Using this fertility estimate the population aged 0 to 4 years was calculated. The female population of reproductive age (15 to 49 years) was readjusted by two and a half years by applying the population growth rate of 2.02 percent to the 1983 Census population. The number of births was calculated by applying the age-specific fertility rates to the female population. The number of births was then disaggregated by sex using the sex ratio at birth (1.04).

3000000 2000000 1000000 0 1000000 2000000 30000000-45-9

10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-79

80+

Male 1983 UNPDFemale Census 1983

Male Female

Male Census 1983Female1983 UNPD




By multiplying the number of births by five, the number of children aged 0 to 4 years in 1983 can be obtained. Not all of these children born during the five-year period prior to the 1983 Census, however, survived to five years of age. For this reason, the respective survival rates must be applied. These were obtained from a life table estimated for 1981.5 using the infant mortality rate (Table 2.5), the Myanmar model life table (Table 2.6), and the MATCH program from UNPD’s demographic package MORTPAK. The results of these calculations are presented in Table 3.1.

Table 3.1 Adjustment of the population aged 0 to 4 years from the 1983 Census

Age group

Fertility 1982.7

Females, 1983

Census

Female 1983

estimateBirths, total

Births, males

Births, females

Survivors Children 0-4, 1983 (adjusted)


15-19 0.04250 1,959,510 1,881,924 79,982

20-24 0.18550 1,736,223 1,667,477 309,317

25-29 0.22740 1,450,457 1,393,026 316,774

30-34 0.21020 1,123,903 1,079,403 226,890

35-39 0.17120 862,548 828,396 141,821

40-44 0.08780 790,655 759,349 66,671

45-49 0.02080 740,811 711,479 14,799

4.73 8,664,107 8,321,053 1,156,254 601,252 555,002 587,296 541,742 2,936,480 2,708,710

0.52 0.48 0.97679 0.97611 Children 0-4, UNPD estimates

Sex ratio at birth Survival rates for 1981.5 q(0). M=.10330 and F=.09161

2,668,719 2,662,934

Difference between 1983 (adjusted) and

UNPD estimates

267,761 45,776

10.0 1.7

Source: Department of Immigration and Manpower. 1986. Burma. 1983 Population Census. Ministry of Home and Religious Affairs, The Socialist Republic of the Union of Burma.

Data on age and sex distribution often contain errors because some people do not know their true age while others do not report their age accurately. Because of these errors, it is expedient to adjust the age structure with techniques for smoothing irregularities. The software AGESMTH, from the demographic package PAS, includes several methods for this process.xv In this case, the Arriaga technique was utilized. Table 3.2 shows the 1983 unadjusted census population; the population with the adjusted 0 to 4-year age group; and the fully adjusted population. Note that this population corresponds to 1 April 1983.


Table 3.2 Adjustment of the 1983 Census population

Age group

Unadjusted Adjusted population 0-4 years only Adjusted with ASMTH (1 April)

Male Female Total Male Female Total Male Female Total

0-4 2,345,211 2,314,136 4,659,347 2,936,479 2,708,711 5,645,190 2,759,265 2,589,998 5,349,263

5-9 2,294,685 2,252,947 4,547,632 2,294,685 2,252,947 4,547,632 2,471,900 2,371,659 4,843,559

10-14 2,256,224 2,166,262 4,422,486 2,256,224 2,166,262 4,422,486 2,186,953 2,150,300 4,337,253

15-19 1,906,201 1,959,510 3,865,711 1,906,201 1,959,510 3,865,711 1,914,095 1,913,837 3,827,932

20-24 1,664,646 1,736,223 3,400,869 1,664,646 1,736,223 3,400,869 1,637,439 1,665,837 3,303,276

25-29 1,411,614 1,450,457 2,862,070 1,411,614 1,450,457 2,862,070 1,391,518 1,428,278 2,819,796

30-34 1,105,005 1,123,903 2,228,908 1,105,005 1,123,903 2,228,908 1,133,757 1,166,346 2,300,103

35-39 864,338 862,548 1,726,886 864,338 862,548 1,726,886 955,717 987,426 1,943,143

40-44 741,692 790,655 1,532,347 741,692 790,655 1,532,347 803,202 832,913 1,636,115

45-49 717,468 740,811 1,458,279 717,468 740,811 1,458,279 687,773 717,514 1,405,287

50-54 655,201 686,923 1,342,124 655,201 686,923 1,342,124 598,985 630,320 1,229,305

55-59 503,957 520,081 1,024,039 503,957 520,081 1,024,039 498,669 529,387 1,028,056

60-64 412,711 445,080 857,791 412,711 445,080 857,791 395,742 425,217 820,959

65-69 261,474 289,172 550,646 261,474 289,172 550,646 296,681 324,251 620,932

70-74 199,002 230,111 429,113 199,002 230,111 429,113 198,744 224,083 422,827

75-79 101,671 118,683 220,355 101,671 118,683 220,355 101,929 124,711 226,640

80+ 77,154 102,156 179,310 77,154 102,156 179,310 77,154 102,156 179,310

Total 17,518,255 17,789,658 35,307,913 18,109,523 18,184,233 36,293,756 18,109,523 18,184,233 36,293,756



Figure 3.3 shows the superimposed pyramids corresponding to the 1983 adjusted population (according to Table 3.2) and UNPD’s 1983 population. They are quite similar regarding composition and size, and the percentage difference is only 1.7 percent. Evidently, the two populations cannot be equal: the adjusted 1983 population corresponds to April and UNPD’s population to 1 July, and the two are estimated with different methods. They are close enough, however, to validate the adjusted 1983 Census population as a reliable base population for the projection exercise.

Figure 3.3 Comparison between the adjusted 1983 Census population and United Nations Population Division 1983 population estimate


Adj. Census, FemaleAdj. Census MaleFemale1983 UNPDMale 1983 UNPD

Male Female

4000000 3000000 2000000 1000000 0 1000000 2000000 30000000-45-9

10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-79

80+


CHAPTeR 4. The projection of the Union population, 1983 to 2014

With a base population and an estimate of population components for the 1983-2014 period, the population estimate using the component method can be conducted. The projection software utilized was PROJCT from the demographic package MORTPAK (already used to calculate life tables, see footnote 13). This program was selected because of its simplicity, flexibility and because it generates complete output data.

The input required for this program is: 1. Base population by age group and sex (Table 3.2).2. Model life table, user supplied, for the entire projection period (Table 2.6).3. Fertility patterns for the beginning and end of the projection period (Table 2.3).4. Migration pattern, for the entire projection period (Table 2.9).5. Total fertility rate for each year of the projection period (Table 2.2).6. Life expectancy at birth, by sex, for each year of the projection period (Table 2.7).7. Net number of international migrants, by sex, for each year of the projection period (Table

2.8).

The results are presented in table 4.1 and Figure 4.1. The projection can be rapidly and easily assessed by comparing the 2014 projected population with the 2014 Census population (enumerated). Table 4.1 and Figure 4.1 illustrate this information using superimposed pyramids. The pyramids show important differences. The total difference is not large: the projection based on the 1983 Census is only 0.02 percent smaller than the adjusted 2014 Census population. The problem, however, is in the age composition, especially the second and third bar, corresponding to ages 5 to 9 and 10 to 14 years. The lower bars of the pyramids are rather different; those corresponding to the 1983 projection are much shorter, indicating a smaller young-age population.

It is apparent that the reason for these differences is fertility since the possible underestimation is in the lower bars of the pyramid. During the projection period (31 years) fertility is the main determinant of the size of the base of the pyramid, especially fertility levels during the most recent period.


Table 4.1 Comparison between the 2014 projected population based on the 1983 Census and the 2014 Census populations

Age group

2014 Projection 2014 Census


0-4 2,204,385 2,161,083 2,318,838 2,260,043

5-9 2,185,106 2,154,680 2,508,602 2,443,695

10-14 2,248,840 2,221,490 2,670,260 2,579,997

15-19 2,275,493 2,256,513 2,347,309 2,390,779

20-24 2,192,942 2,215,445 2,134,799 2,288,547

25-29 1,978,404 2,092,980 2,038,754 2,199,240

30-34 2,008,623 2,123,071 1,925,403 2,058,537

35-39 1,816,584 1,990,665 1,743,306 1,897,515

40-44 1,552,192 1,805,849 1,583,868 1,772,432

45-49 1,327,491 1,626,041 1,407,855 1,605,893

50-54 1,128,024 1,461,826 1,211,803 1,408,480

55-59 924,630 1,243,275 959,423 1,140,845

60-64 664,543 905,290 730,029 884,530

65-69 471,970 680,516 479,767 612,836

70-74 312,217 518,679 310,517 422,010

75-79 167,007 338,788 235,018 332,989

80+ 76,257 225,723 219,035 363,299

Total 23,534,708 26,021,915 24,824,586 26,661,667

Source: Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar.

The approach used to address this issue was pragmatic: Different levels of fertility were assumed during the projection period to obtain a population similar to that of the population of the 2014 Census. This was possible because fertility trends were available and the software was flexible. Fertility can be estimated from the age distribution of the population provided by two censuses, or even one census. Persons at each single year of age are the survivors of persons born during a particular year in the past. If the number of deaths and international migrants can be estimated, the number of births can be calculated and used to estimate fertility in the past. This approach was used in this projection: With reliable measures of mortality and migration, the fertility needed to obtain a population similar to the 2014 Census population by age group and sex was estimated running successive projections.


Figure 4.1 Comparison between the 2014 projected population based on the 1983 Census and the 2014 Census population

Source: Table 4.1.

Table 4.2 and Figure 4.2 show three estimates of the TFR during the intercensal period (1983-2014): The trend obtained with available intercensal estimates, which correspond to a second-degree polynomial; the TFR estimated from the age distribution of both censuses; and the TFR estimated by UNPD in their estimates and projections (see footnote 3). The estimates, based on the age distributions of the two censuses, show an overall declining trend with several linear trends with different slopes. This indicates that fertility declined linearly, but at a varying pace during the projection period. The TFR does not appear to follow a smooth and increasingly slower trend consistent with demographic transition theory; it seems to have followed an uneven trend, not easily modeled by a mathematical function. UNPD’s fertility trend follows a similar trend with different points of inflection and pace.

3000000 2000000 1000000 0 1000000 2000000 30000000-45-9

10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-79

80+

Census 2014 FemaleCensus 2014 MaleProjection FemaleProjection Male

Male Female


Table 4.2 Three estimates of the total fertility rate: Second degree polynomial equation, age distribution from both censuses and UNPD estimates, 1983 to 2014

Year TFR, polynomial

TFR from age distribution of 1983 and 2014

censuses

UNPD TFR

1983.5 4.14 4.00 4.48

1984.5 4.03 3.93 4.31

1985.5 3.93 3.85 4.14

1986.5 3.83 3.78 3.97

1987.5 3.73 3.70 3.80

1988.5 3.63 3.56 3.68

1989.5 3.54 3.42 3.56

1990.5 3.46 3.28 3.44

1991.5 3.37 3.14 3.32

1992.5 3.29 3.00 3.20

1993.5 3.22 2.98 3.15

1994.5 3.15 2.96 3.10

1995.5 3.08 2.94 3.05

1996.5 3.01 2.92 3.00

1997.5 2.95 2.90 2.95

1998.5 2.89 2.90 2.93

1999.5 2.84 2.90 2.92

2000.5 2.79 2.89 2.90

2001.5 2.74 2.89 2.89

2002.5 2.69 2.89 2.87

2003.5 2.65 2.85 2.81

2004.5 2.62 2.81 2.74

2005.5 2.58 2.78 2.68

2006.5 2.55 2.74 2.61

2007.5 2.53 2.70 2.55

2008.5 2.50 2.65 2.50

2009.5 2.48 2.60 2.45

2010.5 2.47 2.55 2.40

2011.5 2.46 2.50 2.35

2012.5 2.45 2.45 2.30

2013.5 2.44 2.40 2.28

2014.5 2.44 2.35 2.25

Source: United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, custom data accessed via website on 13 June 2018. https://esa.un.org/unpd/wpp/DataQuery.



Figure 4.2 Three estimates of the total fertility rate: Second-degree polynomial equation, age distribution of population of 1983 and 2014 Censuses, and UNPD estimates, 1983 to 2014

The original mortality structure was also modified, but only the structure not the level. Sex differences in infant mortality were also adjusted to obtain a better match between the estimated 2014 population and the 2014 Census population. As noted above, the most appropriate sex ratio for this purpose was found to be 1.06. In addition, the level of mortality of older ages (75 to 79 years and 80 years and above) was reduced to get a better match between the estimated 2014 population and the 2014 Census population. Instead of using the probability of dying (q(x,n)), corresponding to the Myanmar life table, the probabilities corresponding to the North Model of the Coale-Demeny model life tables were used.

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50

1983

.519

84.5

1985

.519

86.5

1987

.519

88.5

1989

.519

90.5

1991

.519

92.5

1993

.519

94.5

1995

.519

96.5

1997

.519

98.5

1999

.520

00.5

2001

.520

02.5

2003

.520

04.5

2005

.520

06.5

2007

.520

08.5

2009

.520

10.5

2011

.520

12.5

2013

.520

14.5

TFR, polinomial TFR from age distribution UNPD TFR


Table 4.3 shows the results of the projection using the new fertility and mortality trends. The total difference between this projected population and the 2014 Census population is only 0.02 percent. Figure 4.3 shows the superimposed pyramids. They are fairly similar, indicating a similar population size and age-sex composition. It is relevant to point out that it is not possible to expect identical populations. The two have different origins, methodological foundations and sources. The differences, however, are acceptable.

Table 4.3 Comparison between the population projections on the basis of the 1983 adjusted census and the 2014 Census

Age group Projection 2014 Census

Male Female Total Male Female Total

0-4 2,405,528 2,366,427 4,771,955 2,318,838 2,260,043 4,578,881

5-9 2,366,962 2,346,515 4,713,477 2,508,602 2,443,695 4,952,297

10-14 2,404,124 2,391,705 4,795,829 2,670,260 2,579,997 5,250,257

15-19 2,377,500 2,378,337 4,755,837 2,347,309 2,390,779 4,738,088

20-24 2,241,263 2,285,264 4,526,527 2,134,799 2,288,547 4,423,346

25-29 1,994,455 2,122,693 4,117,148 2,038,754 2,199,240 4,237,994

30-34 2,015,258 2,112,765 4,128,023 1,925,403 2,058,537 3,983,940

35-39 1,853,390 1,981,748 3,835,138 1,743,306 1,897,515 3,640,821

40-44 1,598,750 1,782,155 3,380,905 1,583,868 1,772,432 3,356,300

45-49 1,387,940 1,588,509 2,976,449 1,407,855 1,605,893 3,013,748

50-54 1,188,672 1,386,208 2,574,880 1,211,803 1,408,480 2,620,283

55-59 990,602 1,175,938 2,166,540 959,423 1,140,845 2,100,268

60-64 753,390 919,383 1,672,773 730,029 884,530 1,614,559

65-69 547,051 700,223 1,247,274 479,767 612,836 1,092,603

70-74 363,627 498,114 861,741 310,517 422,010 732,527

75-79 214,999 321,718 536,717 235,018 332,989 568,007

80+ 160,355 273,842 434,197 219,035 363,299 582,334

Total 24,863,866 26,631,544 51,495,410 24,824,586 26,661,667 51,486,253

Difference 39,280 -30,123 9,157

Percentage dif. 0.16 -0.11 0.02

Sex ratio 93.4

Source: Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar.


Figure 4.3 Comparison between the population projection on the basis of the 1983 adjusted census and the 2014 Census

Source: Table 4.3.

It is also important to note that the 2014 Census population may have some issues regarding the age-sex structure or even under-enumeration problems. Notice, for example, that the population aged 0 to 4 years is smaller in the 2014 Census than in the 2014 estimate. The reason could be an issue affecting most censuses: the underreporting of young children. Hence, the problem may not be the estimates, but the data from the census. It is also interesting to note Figure 1 in Appendix C, where the pyramids by single age are presented. The 2014 Census population shows a clear digit preference for ages ending in 0 and 5. These problems in the age composition by single age in the 2014 Census suggest that the age composition by age group may also contain inaccuracies. Nevertheless, the estimated and enumerated census population size and structure are similar enough to consider the results of the estimation exercise as reliable.

Table 4.4 shows a summary of the projection including the total population by sex, vital events, and population according to selected age groups. The complete results of the projection exercise can be found in Appendices A, B, C and D. Appendix A includes the population by age group and sex, Appendix B contains data on vital events, Appendix C includes the population by sex and single age and Appendix D includes the state/region population by sex and by five-year age groups. These data are available for each year of the projection period, from 1983 to 2014.

3000000 2000000 1000000 0 1000000 2000000 30000000-45-9

10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-79

80+

Census 2014 FemaleCensus 2014 MaleProjection FemaleProjection Male

Male Female


Tabl

e 4.

4 P

roje

cted

pop

ulat

ions

– to

tal p

opul

atio

n, a

nd b

y vi

tal e

vent

and

sel

ecte

d ag

e gr

oup,

198

3 to

201

4

Year

Popu

latio

nSe

x ra

tio

Vita

l eve

nts

Sele

cted

pop

ulat

ion

grou

ps -

abso

lute

val

ues

Sele

cted

pop

ulat

ion

grou

ps -

perc

enta

ges

Mal

eFe

mal

eTo

tal

Gro

wth

(P

ct.)

Birth

sD

eath

sM

igra

nts

0-14

15-6

465

+Fe

mal

e 15

-49

0-4

80+

0-14

15-6

465

+Fe

mal

e 15

-49

0-4

80+

1983

18,1

09,5

2318

,184

,233

36,2

93,7

5699

.614

,530

,075

20,3

13,9

721,

449,

709

8,71

2,15

15,

349,

263

179,

310

40.0

355

.97

3.99

47.9

114

.74

0.49

1984

18,4

21,7

8018

,528

,682

36,9

50,4

6299

.40.

0179

1,08

1,32

840

7,82

7-1

6,80

014

,627

,168

20,8

37,0

411,

486,

253

8,94

8,73

95,

264,

447

176,

239

39.5

956

.39

4.02

48.3

014

.25

0.48

1985

18,7

36,5

5718

,874

,939

37,6

11,4

9699

.30.

0177

1,08

4,89

840

1,26

4-2

2,60

014

,716

,492

21,3

70,7

041,

524,

300

9,19

0,15

15,

175,

806

177,

455

39.1

356

.82

4.05

48.6

913

.76

0.47

1986

19,0

51,6

2219

,222

,233

38,2

73,8

5599

.10.

0175

1,08

9,58

839

8,82

5-2

8,40

014

,795

,724

21,9

14,5

081,

563,

623

9,43

5,81

15,

083,

743

181,

489

38.6

657

.26

4.09

49.0

913

.28

0.47

1987

19,3

65,4

8619

,569

,163

38,9

34,6

4999

.00.

0171

1,09

3,10

639

8,11

0-3

4,20

014

,862

,680

22,4

67,8

541,

604,

115

9,68

4,93

44,

992,

196

187,

334

38.1

757

.71

4.12

49.4

912

.82

0.48

1988

19,6

76,8

0319

,914

,737

39,5

91,5

4098

.80.

0167

1,09

5,33

739

8,45

1-4

0,00

014

,915

,588

23,0

30,2

181,

645,

734

9,93

6,89

44,

927,

135

194,

316

37.6

758

.17

4.16

49.9

012

.44

0.49

1989

19,9

75,8

4020

,252

,092

40,2

27,9

3298

.60.

0159

1,09

5,86

539

9,47

1-6

0,00

014

,951

,988

23,5

87,6

011,

688,

343

10,1

86,1

114,

949,

391

201,

975

37.1

758

.63

4.20

50.3

012

.30

0.50

1990

20,2

62,5

2420

,581

,290

40,8

43,8

1498

.50.

0152

1,09

7,23

240

1,35

0-8

0,00

014

,972

,589

24,1

39,4

151,

731,

810

10,4

32,2

624,

968,

366

210,

015

36.6

659

.10

4.24

50.6

912

.16

0.51

1991

20,5

37,1

6820

,902

,595

41,4

39,7

6398

.30.

0145

1,09

9,62

340

3,67

1-1

00,0

0014

,978

,545

24,6

85,0

791,

776,

139

10,6

74,8

034,

984,

262

218,

256

36.1

559

.57

4.29

51.0

712

.03

0.53

1992

20,7

97,0

7921

,213

,348

42,0

10,4

2798

.00.

0137

1,09

7,06

540

6,40

4-1

20,0

0014

,965

,352

25,2

23,7

851,

821,

290

10,9

13,0

674,

993,

521

226,

585

35.6

260

.04

4.34

51.4

411

.89

0.54

1993

21,0

42,6

7321

,513

,802

42,5

56,4

7597

.80.

0129

1,09

5,56

540

9,51

4-1

40,0

0014

,934

,635

25,7

54,6

311,

867,

209

11,1

46,3

774,

998,

549

234,

937

35.0

960

.52

4.39

51.8

111

.75

0.55

1994

21,2

90,6

4221

,814

,956

43,1

05,5

9897

.60.

0128

1,09

5,87

441

3,23

2-1

33,5

2014

,889

,310

26,3

02,2

331,

914,

055

11,3

83,8

055,

003,

103

243,

296

34.5

461

.02

4.44

52.1

811

.61

0.56

1995

21,5

40,4

8222

,116

,231

43,6

56,7

1397

.40.

0127

1,09

5,46

941

7,31

7-1

27,0

4014

,830

,499

26,8

64,4

701,

961,

744

11,6

24,2

555,

005,

739

251,

642

33.9

761

.54

4.49

52.5

611

.47

0.58

1996

21,7

91,5

7222

,417

,155

44,2

08,7

2797

.20.

0126

1,09

4,30

642

1,73

1-1

20,5

6014

,759

,960

27,4

38,9

562,

009,

811

11,8

66,6

295,

004,

823

259,

966

33.3

962

.07

4.55

52.9

411

.32

0.59

1997

22,0

43,3

6522

,717

,130

44,7

60,4

9597

.00.

0124

1,09

2,30

442

6,45

6-1

14,0

8014

,682

,776

28,0

20,0

402,

057,

679

12,1

08,4

075,

004,

003

268,

265

32.8

062

.60

4.60

53.3

011

.18

0.60

1998

22,2

97,0

0723

,017

,268

45,3

14,2

7596

.90.

0123

1,09

2,72

843

1,35

0-1

07,6

0014

,628

,564

28,5

80,6

392,

105,

072

12,3

39,8

085,

004,

724

276,

563

32.2

863

.07

4.65

53.6

111

.04

0.61

1999

22,5

30,0

4823

,302

,843

45,8

32,8

9196

.70.

0114

1,09

1,01

543

6,39

8-1

36,0

0014

,655

,776

29,0

25,1

632,

151,

952

12,5

25,8

695,

002,

743

284,

850

31.9

863

.33

4.70

53.7

510

.92

0.62

2000

22,7

43,0

4923

,574

,321

46,3

17,3

7096

.50.

0105

1,09

0,29

344

1,41

4-1

64,4

0014

,675

,999

29,4

42,6

932,

198,

678

12,6

99,0

094,

999,

908

293,

169

31.6

963

.57

4.75

53.8

710

.79

0.63

2001

22,9

35,0

5823

,830

,798

46,7

65,8

5696

.20.

0096

1,08

7,58

744

6,30

3-1

92,8

0014

,686

,815

29,8

33,3

492,

245,

692

12,8

58,5

084,

995,

209

301,

585

31.4

063

.79

4.80

53.9

610

.68

0.64

2002

23,1

05,1

6024

,071

,277

47,1

76,4

3796

.00.

0087

1,08

2,78

845

1,00

4-2

21,2

0014

,687

,747

30,1

95,1

162,

293,

574

13,0

02,3

014,

987,

641

310,

167

31.1

364

.00

4.86

54.0

210

.57

0.66

2003

23,2

52,4

2324

,294

,805

47,5

47,2

2895

.70.

0078

1,07

5,43

545

5,04

4-2

49,6

0014

,678

,108

30,5

26,2

112,

342,

909

13,1

28,8

054,

972,

946

318,

971

30.8

764

.20

4.93

54.0

410

.46

0.67

2004

23,3

89,0

8324

,509

,357

47,8

98,4

4095

.40.

0074

1,06

8,50

145

8,93

1-2

58,3

6014

,661

,050

30,8

43,4

782,

393,

912

13,2

43,9

924,

953,

915

328,

010

30.6

164

.39

5.00

54.0

410

.34

0.68

2005

23,5

16,1

6824

,715

,779

48,2

31,9

4795

.10.

0069

1,06

3,00

346

2,37

6-2

67,1

2014

,637

,536

31,1

47,5

922,

446,

819

13,3

48,6

744,

931,

127

337,

286

30.3

564

.58

5.07

54.0

110

.22

0.70

2006

23,6

31,4

0024

,911

,863

48,5

43,2

6394

.90.

0064

1,05

2,63

946

5,44

2-2

75,8

8014

,602

,185

31,4

38,9

532,

502,

125

13,4

44,0

704,

901,

683

346,

816

30.0

864

.76

5.15

53.9

710

.10

0.71

2007

23,7

36,4

3125

,099

,391

48,8

35,8

2294

.60.

0060

1,04

5,15

746

7,95

4-2

84,6

4014

,562

,507

31,7

12,8

592,

560,

456

13,5

29,2

344,

870,

361

356,

633

29.8

264

.94

5.24

53.9

09.

970.

7320

0823

,832

,912

25,2

79,8

5249

,112

,764

94.3

0.00

571,

040,

506

470,

171

-293

,400

14,5

20,4

6431

,969

,981

2,62

2,31

913

,605

,522

4,84

2,11

036

6,75

329

.57

65.1

05.

3453

.82

9.86

0.75

2009

23,9

48,4

3225

,470

,228

49,4

18,6

6094

.00.

0062

1,03

1,32

947

1,75

0-2

53,6

8014

,472

,405

32,2

57,9

402,

688,

315

13,6

91,6

794,

812,

963

377,

294

29.2

965

.27

5.44

53.7

69.

740.

7620

1024

,085

,297

25,6

72,9

4949

,758

,246

93.8

0.00

681,

026,

497

472,

946

-213

,960

14,4

23,4

0432

,576

,192

2,75

8,65

013

,787

,326

4,78

5,73

438

8,25

928

.99

65.4

75.

5453

.70

9.62

0.78

2011

24,2

46,0

6725

,890

,547

50,1

36,6

1493

.60.

0076

1,02

6,46

347

3,85

9-1

74,2

4014

,378

,854

32,9

24,6

012,

833,

159

13,8

92,0

934,

769,

232

399,

519

28.6

865

.67

5.65

53.6

69.

510.

8020

1224

,431

,356

26,1

23,7

9050

,555

,146

93.5

0.00

831,

027,

250

474,

199

-134

,520

14,3

40,3

9333

,303

,206

2,91

1,54

714

,005

,463

4,76

1,41

741

0,92

728

.37

65.8

85.

7653

.61

9.42

0.81

2013

24,6

41,8

4426

,373

,530

51,0

15,3

7493

.40.

0091

1,02

8,93

147

3,90

4-9

4,80

014

,306

,856

33,7

14,6

912,

993,

827

14,1

28,5

144,

760,

417

422,

455

28.0

466

.09

5.87

53.5

79.

330.

8320

14*

24,8

63,8

6626

,631

,544

51,4

95,4

1093

.4-

1,03

2,74

047

2,86

2-7

9,84

014

,281

,261

34,1

34,2

203,

079,

929

14,2

51,4

714,

771,

955

434,

197

27.7

366

.29

5.98

53.5

19.

270.

8420

14**

24,8

24,5

8626

,661

,667

51,4

86,2

5393

.10.

0092

--

-14

,781

,435

33,7

29,3

472,

975,

471

14,2

12,9

434,

578,

881

582,

334

28.7

165

.51

5.78

53.3

18.

891.

13

*Est

imat

ed **

2014

Cen

sus


It is important to conclude this section by further exploring the modifications that had to be made to the fertility trend. The available information, the intercensal TFRs, suggested a very clear trend (second degree polynomial). The projection indicated that this trend was not adequate since it resulted in an underestimation of the 2014 projected population, especially for the youngest age groups. This may raise the question as to whether the estimates are erroneous. Not necessarily, but it is useful to conduct an analysis of this issue.

It appears that that the demographic surveys underestimated fertility, especially during the past two decades. The trend established by these estimates does not appear to reproduce the demographic reality experienced by the country. The 2014 Census, which indicates an increase in fertility compared to the recent surveys, shows a reasonable estimate according to the projection result. It is important to emphasize that this issue requires additional analyzes to evaluate intercensal fertility trends.


CHAPTeR 5. Population by state/region

The population by state/region was projected in two stages. First, the total population by sex was projected and, in a second stage, these projections were disaggregated by age group. Projections were made consistent with the Union projection.

5.1 The estimate of the state/region total population

The population of states/regions during the intercensal period was estimated as an interpolation of the population between 1983 and 2014. The interpolation was completed with an exponential function independently by sex. The sum of the population of states/regions was conciliated with the Union total. This was completed for each year of the intercensal period and by sex. The results of this exercise are shown in Table 5.1.

Important considerations regarding these projections are that one region changed its boundaries, Nay Pyi Taw was established as the country’s new capital, and there was over-mortality in certain states/regions of the country as a result of Cyclone Nargis in 2008.

In 2000 Ngazun Township, previously within the boundaries of Sagaing Region, became part of Mandalay Region. In 2009 the new capital of Myanmar, Nay Pyi Taw, was established (de facto, officially in 2012). It was initially formed by three townships: Pyinmana, Lewe and Tatkon. In 2008 the country suffered the effects of Cyclone Nargis and the resulting loss of life primarily in Ayeyawady Region, but also in Yangon Region and Mon State. These events and the respective changes are included in the intercensal estimate. Table 5.1 shows the estimated population growth by state/region during the intercensal period and Table 5.2 shows the intercensal population estimate by state/region, disaggregated by sex from 1983 to 2014. Note that the sum of the population of states/regions is consistent with the respective Union population.

Table 5.1 Population growth, state/region, 1983 to 2014

State/Region

1983 Census, April 1 2014 Census RateMale Female Both sexes Male Female Both sexes Male Female

Kachin 464,512 465,752 930,264 878,384 811,057 1,689,441 0.02055 0.01789Kayah 88,956 84,243 173,199 143,213 143,414 286,627 0.01536 0.01716Kayin 540,249 544,800 1,085,049 775,268 798,811 1,574,079 0.01165 0.01235Chin 185,125 194,161 379,286 229,604 249,197 478,801 0.00695 0.00805Sagaing 1,950,082 2,020,438 3,970,520 2,516,949 2,808,398 5,325,347 0.00823 0.01062Tanintharyi 476,776 466,360 943,136 700,619 707,782 1,408,401 0.01242 0.01346Bago 1,951,920 1,954,847 3,906,767 2,322,338 2,545,035 4,867,373 0.00561 0.00851Magway 1,643,203 1,691,010 3,334,213 1,813,974 2,103,081 3,917,055 0.00319 0.00703Mandalay 2,333,069 2,373,363 4,706,432 2,928,367 3,237,356 6,165,723 0.00733 0.01001Mon 870,971 856,578 1,727,549 987,392 1,067,001 2,054,393 0.00405 0.00709Rakhine 1,047,160 1,055,947 2,103,107 1,526,402 1,662,405 3,188,807 0.01216 0.01464Yangon 2,064,105 2,013,771 4,077,876 3,516,403 3,844,300 7,360,703 0.01719 0.02086Shan 1,919,418 1,902,181 3,821,599 2,910,710 2,913,722 5,824,432 0.01343 0.01376Ayeyawady 2,573,977 2,560,782 5,134,759 3,009,808 3,175,021 6,184,829 0.00505 0.00694Nay Pyi Taw 565,155 595,087 1,160,242

Union 18,109,523 18,184,233 36,293,756 24,824,586 26,661,667 51,486,253 0.01017 0.01234


Tabl

e 5.

2 In

terc

ensa

l pop

ulat

ion

estim

ate

acco

rdin

g to

sta

te/re

gion

, by

sex,

198

3 to

201

4

Stat

e/

Regi

onM

ale

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

Kach

in46

4,51

247

7,97

349

1,73

750

5,75

251

9,97

953

4,38

454

8,70

256

2,92

057

7,04

059

0,97

660

4,72

861

8,77

163

3,09

464

7,68

366

2,52

667

7,66

1Ka

yah

88,9

5691

,060

93,1

9795

,357

97,5

3299

,715

101,

857

103,

955

106,

011

108,

009

109,

950

111,

921

113,

919

115,

941

117,

984

120,

054

kayi

n54

0,24

955

0,97

956

1,82

357

2,71

458

3,60

759

4,46

160

4,97

961

5,15

762

4,99

963

4,42

164

3,43

265

2,53

966

1,72

867

0,97

868

0,27

368

9,64

8C

hin

185,

125

187,

915

190,

714

193,

499

196,

254

198,

966

201,

536

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206,

255

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210,

349

212,

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214,

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216,

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Saga

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07

Stat

e/

Regi

onM

ale

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

**Ka

chin

692,

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12,

056,

709

2,06

6,16

42,

074,

682

2,08

2,34

42,

088,

976

2,08

9,08

12,

088,

371

2,09

4,45

02,

093,

836

2,09

4,19

12,

095,

548

2,09

7,94

62,

103,

081

Man

dala

y2,

971,

798

3,06

8,69

13,

092,

124

3,11

3,24

13,

131,

932

3,14

9,25

03,

165,

308

2,65

9,86

42,

723,

845

2,78

8,27

72,

863,

514

2,93

1,38

53,

002,

254

3,07

6,30

93,

153,

753

3,23

7,35

6M

on1,

023,

463

1,03

0,68

81,

037,

159

1,04

2,83

41,

047,

682

1,05

2,05

51,

055,

994

1,05

9,41

21,

059,

519

1,05

9,21

31,

062,

351

1,06

2,09

31,

062,

328

1,06

3,07

01,

064,

341

1,06

7,00

1Ra

khin

e1,

423,

757

1,44

4,68

01,

464,

773

1,48

3,95

51,

502,

158

1,51

9,86

51,

537,

123

1,55

3,79

01,

565,

731

1,57

7,14

71,

593,

813

1,60

5,50

81,

618,

038

1,63

1,44

71,

645,

782

1,66

2,40

5Ya

ngon

2,99

9,23

33,

062,

291

3,12

4,24

93,

184,

904

3,24

4,08

03,

302,

794

3,36

1,13

13,

418,

768

3,46

6,52

73,

513,

582

3,57

2,85

73,

621,

524

3,67

2,55

33,

726,

083

3,78

2,26

93,

844,

300

Shan

2,52

8,74

12,

563,

637

2,59

6,99

62,

628,

681

2,65

8,57

42,

687,

536

2,71

5,65

32,

742,

674

2,76

1,30

92,

778,

986

2,80

5,87

02,

823,

963

2,84

3,48

92,

864,

520

2,88

7,13

82,

913,

722

Ayey

awad

y3,

052,

341

3,07

3,42

83,

092,

260

3,10

8,71

23,

122,

694

3,13

5,25

63,

146,

523

3,15

6,23

13,

156,

077

3,15

4,69

13,

087,

965

3,10

1,71

93,

116,

978

3,13

3,81

13,

152,

298

3,17

5,02

1N

aypy

itaw

51

9,97

252

8,39

953

6,75

254

7,01

155

5,68

456

4,75

757

4,25

258

4,19

759

5,08

7U

nion

23,3

02,8

4323

,574

,321

23,8

30,7

9824

,071

,277

24,2

94,8

0524

,509

,357

24,7

15,7

7924

,911

,863

25,0

99,3

9125

,279

,852

25,4

70,2

2825

,672

,949

25,8

90,5

4726

,123

,790

26,3

73,5

3026

,661

,667

**201

4 C

ensu

s


5.2 estimates of state/region population by age group and sexIn the previous stage the state/region population was estimated by an interpolation of the total population by sex between 1983 and 2014 (exponential). In this stage, the total population is disaggregated by age group. This was done by a method called iterative proportional fitting (it is also called contingency table, two-way raking, and square table). It iteratively adjusts columns and rows of a two-way table.

This procedure is found in the program CTBL32 of the demographic package PAS, previously used to smooth the 1983 Census population (AGESMTH, see footnote 14). The program starts with a contingency table with age groups as rows and sub-national populations as columns. The Union population by age group, estimated for the year just before the last year of the estimate, is entered as the expected population (2013). This corresponds to the row marginals of the contingency table. The total population of state/region, also estimated for the year previous to the last year of the estimate (2013), is entered as the column marginals. In the body of the contingency table the population by age group of states/regions corresponding to the final year is finally entered (2014). The program performs an iterative row-column adjustment in a maximum of five cycles. The result is the population by age for each state/region. The process is then repeated by entering the previous year’s Union population by age in the row marginals and the total population for each state/region in the column marginals. This process continues up to the first year of the intercensal period. The result of this estimates are presented in Appendix D.

Note that this procedure starts from year 2014 to 1983 and not the other way around as in all other cases. The reason is that, for this procedure, it is necessary to have a reliable count of the population by state/region by age group and the 2014 Census provides more reliable data than the 1983 Census. For this method, the initial year is irrelevant.


CHAPTeR 6. Conclusion

It is expected that this intercensal population estimate will be useful for planning and policy purposes and fill an existing data gaps. The examination of the results suggests that the estimations are reliable.

Here, what William Brass, the well-known British demographer, called the discipline of demographic data can be applied. This means that in demographic processes changes in one component in the demographic dynamics will be reflected in others, which means, in turn, that an error in one component will result in errors in all of the others. A powerful indicator of the reliability of the results of a demographic analysis is the consistency of the information. The results of this intercensal population estimate are quite consistent.

It is important to acknowledge that there are several methods and techniques for undertaking population projections and the choice of the method depends on the circumstances and availability of key data. For example, the component method, or a semi-component method, could have been used to estimate the state/region population. However, the data to use these methods is not available. The methods used here were the best considering the lack of information.

Finally, it is important to reiterate that fertility data available for the intercensal period needs to be further evaluated and analyzed. In undertaking these projection, it was noted that fertility may have been underestimated during the past two decades. Both data collection instruments and methods should be revised and improved in light of these results.


References

i George, M. V.; S. K. Smith; D. A. Swanson; and J. Tyman. 2004. ‘Population Projections’ Chapter 21, Method and Materials of Demography, Second Edition (J. S. Siegel and D. A. Swanson, Editors), Elsevier Academic Press, London, pp. 561-601.

ii United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: the 2017 revision, custom data via website. https://esa.un.org/unpd/wpp/DataQuery/. Accessed 12 June 2018.

iii Haupt, A. and T. T. Kane. 2004. Population Handbook, Fifth Edition, Population Reference Bureau, Washington, DC, USA.

iv Ibid.

v Ibid.

vi Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Mortality. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar.

vii In the previously mentioned mortality study, infant and child mortality were calculated using the census data on children ever born and children surviving by age of the mother. Using sophisticated demographic techniques, called indirect methods, it is possible to transform these data into reliable infant and child mortality rates. These two rates correspond to the life table function q(x,n), or the probability of dying between ages x and x+n; more specifically, they are q(0,1) and q(1,4) or infant mortality and child mortality. They correspond to the first and second values of the life table function q(x,n) or probability of dying. For the purpose of this projection exercise only infant mortality, q(0,1), is used. The most frequently used indirect methods are the Brass-type techniques. William Brass, a British demographer, was the first to develop the procedure for converting the proportion who had died among children ever born, as reported by women (by age group), into estimates of the probability of dying before attaining certain exact childhood ages. Afterwards, improved versions were developed. The two main variants are the Trussell and the Palloni-Heligman techniques. For a description of the procedure to calculate infant mortality from the 2014 Census, see the previous reference.

viii Haupt, A. and T. T. Kane. 2004. Population Handbook, Fifth Edition, Population Reference Bureau, Washington, DC, USA.

ix Timæus I M, R E Dorrington and K H Hill. 2013. ‘Introduction to adult mortality analysis’, in T A Moultrie, R E Dorrington, A G Hill, K Hill, I M Timæus and B Zaba (eds), Tools for Demographic Estimation. Paris: International Union for the Scientific Study of Population. Website: http://demographicestimation.iussp.org/content/introduction-adult-mortality-analysis. Accessed 12 June 2018.

x Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Mortality. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar. Chapter 3, pp. 18-31.

xi For a description of model life tables and their use in demography, see: TA and IM Timæus. 2013. ‘Introduction to model life tables’, in T A Moultrie, R E Dorrington, A G Hill, K Hill, I M Timæus and B Zaba (eds), Tools for Demographic Estimation. Paris: International Union for the Scientific Study of Population. Website: http://demographicestimation.iussp.org/content/introduction-adult-mortality-analysis. Accessed 12 June 2018

xii UNPD. 2013. MORTPAK for windows (Version 4.3), United Nations Population Division, New York, USA.

xiii Department of Population. 2016. The 2014 Myanmar Population and Housing Census, Thematic Report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050. Ministry of Labour, Immigration and Population, Nay Pyi Taw, Myanmar. Appendix B.6, pp. 163-166.

xiv Moultrie TA. 2013. ‘Introduction to fertility analysis’. In Moultrie TA, RE Dorrington, AG Hill, K Hill, IM Timæus and B Zaba (eds), Tools for Demographic Estimation. Paris: International Union for the Scientific Study of Population. Website: http://demographicestimation.iussp.org/content/introduction-fertility-analysis. Accessed 17/04/2018.

xv E. Arriaga and Associates. 1994. PAS – Population Analysis with Microcomputers, U. S Bureau of the Census, Washington, D.C., USA

https://esa.un.org/unpd/wpp/DataQuery/

http://demographicestimation.iussp.org/content/introduction-adult-mortality-analysis



http://demographicestimation.iussp.org/content/introduction-fertility-analysis

http://demographicestimation.iussp.org/content/introduction-fertility-analysis


Glossary of terms and definitions

Adult mortality rate: This represents the probability that a 15-year-old person will die before reaching his/her 60th birthday, if subject to age-specific mortality rates between those ages for the specified year.

Age-specific fertility rate: The number of live births divided by the female population for each five-year age group of reproductive age (conventionally, from 15 to 49 years).

Child mortality: The number of children that die between 1 and 4 years of age divided by the number of children alive at age 1, multiplied by 1,000. Conventional household: This includes one or more persons who are either related or unrelated and share living quarters (single quarter or compound) and meals. The household members would usually eat food prepared from the same cooking pot. In most cases, there would be one person acknowledged by the household members as the head of the household.

Demographic transition theory: In simple terms, the demographic transition theory describes a cycle that starts with high fertility and mortality rates and continues with a decline in mortality but fertility rates remain high. During this stage the population expands very rapidly. In a second stage fertility begins to slow with an increasingly rapid decline. In the third stage, fertility and mortality experience a slow or no decline at all. The mathematical function that best describes the fertility transition is considered to be the logistic.

General fertility rate: This is the total number of live births per 1,000 women of reproductive age (15-49 years) in a population per year.

Infant mortality: The number of deaths of infants aged under one year per 1,000 live births. International migration: This is a movement involving a change of country of usual residence.

Life expectancy at birth: This refers to the average number of years a newborn is expected to live if mortality patterns at the time of its birth remain constant in the future. It is the most used indicator of mortality since it is not affected by the age composition of the population.


Life table: A life table is a tool used to simulate the lifetime mortality experience of a population. It does so by taking that population’s age-specific death rates and applying them to a hypothetical population of 100,000 people born in the same year. For each year on the life table, death reduces the hypothetical population size until the bottom row of statistics where the entire population dies.

Net migration: The net migration rate is the difference between the number of immigrants (people coming into a country) and the number of emigrants (people leaving a country) throughout the period of one year.

Population growth rate: This is the rate at which the number of individuals in a population increases in a given time period, expressed as a fraction of the initial population.

Reproductive age: Refers to all women aged 15 to 49 years.

Sex ratio: The number of males per 100 females in a population.

Total fertility rate (TFR): The TFR is the most frequently used indicator of fertility levels and is the average number of children that would be born to a woman over her lifetime if she were to survive from birth through to the end of her reproductive life and bore children according to a given fertility rate at each age. The TFR is a synthetic rate, not based on the fertility of any real group of women since this would involve waiting until they had completed childbearing. Nor is it based on counting the total number of children actually born over their lifetime. Instead, the TFR is based on the age-specific fertility rates of women in their childbearing years, which in conventional international statistical usage is ages 15 to 44 or 15 to 49 years.

Under-five mortality rate: The probability of a child born in a specific year or period dying before reaching the age of five years, if subject to age-specific mortality rates of that period. It is expressed as the number of children who die before reaching the age of five per 1,000 live births in a given period.


List of the Contributors

Department of PopulationCoordinationDr. Nyi Nyi (Acting Director General)Dr. Khaing Khaing Soe (Director)

Assisting authors:Khin Myo KhineAye Theingi WinHlaing Phwe ThuMar Lar HtunYe Lin NaingEi Mon Aye

United Nations Population FundCoordinationMr. Ramanathan Balakrishnan (Country Representative)

Assisting authorsMs.Mercedita TiaMr. Daniel Sonda

World BankCoordinationMr. Gevorg Sargsyan (Country Director)Mr. Salman Zaidi (Practice Manager)Mr. Gaston Sorgho (Practice Manager)Ms. Bronwyn Grieve (Program Leader)

Assisting authorsMr. Ricardo F. Neupert (lead author)Mr. Clarence TsimpoMr. Samuel Mills


APPeNDICeS

APPeNDIX A: Population projections by age group and sex, 1983 to 20141983 1984

Age group Male Female Total Age group Male Female Total

0-4 2,759,265 2,589,998 5,349,263 0-4 2,702,637 2,561,810 5,264,447

5-9 2,471,900 2,371,659 4,843,559 5-9 2,521,770 2,409,800 4,931,570

10-14 2,186,953 2,150,300 4,337,253 10-14 2,238,719 2,192,432 4,431,151

15-19 1,914,095 1,913,837 3,827,932 15-19 1,962,874 1,957,970 3,920,844

20-24 1,637,439 1,665,837 3,303,276 20-24 1,681,823 1,708,598 3,390,421

25-29 1,391,518 1,428,278 2,819,796 25-29 1,432,836 1,471,792 2,904,628

30-34 1,133,757 1,166,346 2,300,103 30-34 1,172,790 1,208,224 2,381,014

35-39 955,717 987,426 1,943,143 35-39 980,658 1,014,479 1,995,137

40-44 803,202 832,913 1,636,115 40-44 823,574 855,826 1,679,400

45-49 687,773 717,514 1,405,287 45-49 699,596 731,850 1,431,446

50-54 598,985 630,320 1,229,305 50-54 606,707 641,123 1,247,830

55-59 498,669 529,387 1,028,056 55-59 507,068 541,716 1,048,784

60-64 395,742 425,217 820,959 60-64 402,013 435,524 837,537

65-69 296,681 324,251 620,932 65-69 300,959 332,202 633,161

70-74 198,744 224,083 422,827 70-74 203,143 231,070 434,213

75-79 101,929 124,711 226,640 75-79 109,534 133,106 242,640

80+ 77,154 102,156 179,310 80+ 75,079 101,160 176,239

Total 18,109,523 18,184,233 36,293,756 Total 18,421,780 18,528,682 36,950,462

1985 1986


0-4 2,644,178 2,531,628 5,175,806 0-4 2,583,440 2,500,303 5,083,743

5-9 2,569,555 2,446,374 5,015,929 5-9 2,614,057 2,480,241 5,094,298

10-14 2,290,996 2,233,761 4,524,757 10-14 2,343,359 2,274,324 4,617,683

15-19 2,011,203 2,001,608 4,012,811 15-19 2,059,499 2,044,738 4,104,237

20-24 1,727,639 1,752,017 3,479,656 20-24 1,774,328 1,795,738 3,570,066

25-29 1,471,544 1,512,586 2,984,130 25-29 1,508,685 1,551,579 3,060,264

30-34 1,215,298 1,254,149 2,469,447 30-34 1,259,494 1,302,155 2,561,649

35-39 1,005,543 1,041,480 2,047,023 35-39 1,031,529 1,069,761 2,101,290

40-44 845,615 880,579 1,726,194 40-44 868,818 906,620 1,775,438

45-49 712,926 747,732 1,460,658 45-49 727,777 765,220 1,492,997

50-54 614,144 651,415 1,265,559 50-54 621,811 661,785 1,283,596

55-59 515,833 554,350 1,070,183 55-59 524,675 566,967 1,091,642

60-64 408,757 446,286 855,043 60-64 415,902 457,427 873,329

65-69 305,376 340,375 645,751 65-69 310,033 348,847 658,880

70-74 207,217 237,962 445,179 70-74 211,096 244,843 455,939

75-79 115,531 140,384 255,915 75-79 120,405 146,910 267,315

80+ 75,202 102,253 177,455 80+ 76,714 104,775 181,489

Total 18,736,557 18,874,939 37,611,496 Total 19,051,622 19,222,233 38,273,855


1987 1988


0-4 2,522,544 2,469,652 4,992,196 0-4 2,478,254 2,448,881 4,927,135

5-9 2,652,266 2,508,758 5,161,024 5-9 2,666,776 2,522,204 5,188,980

10-14 2,395,283 2,314,177 4,709,460 10-14 2,446,228 2,353,245 4,799,473

15-19 2,108,323 2,087,340 4,195,663 15-19 2,158,051 2,129,412 4,287,463

20-24 1,820,995 1,839,188 3,660,183 20-24 1,867,035 1,881,956 3,748,991

25-29 1,545,853 1,590,234 3,136,087 25-29 1,584,141 1,629,584 3,213,725

30-34 1,302,932 1,349,527 2,652,459 30-34 1,343,884 1,394,334 2,738,218

35-39 1,060,208 1,101,150 2,161,358 35-39 1,092,558 1,136,792 2,229,350

40-44 892,512 933,196 1,825,708 40-44 916,280 959,867 1,876,147

45-49 744,123 784,299 1,528,422 45-49 761,906 804,949 1,566,855

50-54 630,382 673,000 1,303,382 50-54 640,334 685,632 1,325,966

55-59 533,247 579,137 1,112,384 55-59 541,358 590,635 1,131,993

60-64 423,351 468,857 892,208 60-64 431,022 480,488 911,510

65-69 315,030 357,690 672,720 65-69 320,411 366,950 687,361

70-74 214,864 251,753 466,617 70-74 218,584 258,738 477,322

75-79 124,502 152,942 277,444 75-79 128,072 158,663 286,735

80+ 79,071 108,263 187,334 80+ 81,909 112,407 194,316

Total 19,365,486 19,569,163 38,934,649 Total 19,676,803 19,914,737 39,591,540

1989 1990


0-4 2,489,860 2,459,531 4,949,391 0-4 2,499,769 2,468,597 4,968,366

5-9 2,617,264 2,497,980 5,115,244 5-9 2,562,625 2,470,294 5,032,919

10-14 2,495,937 2,391,416 4,887,353 10-14 2,543,424 2,427,880 4,971,304

15-19 2,207,674 2,170,026 4,377,700 15-19 2,256,989 2,209,179 4,466,168

20-24 1,910,085 1,922,652 3,832,737 20-24 1,950,701 1,961,562 3,912,263

25-29 1,622,057 1,668,657 3,290,714 25-29 1,659,265 1,707,054 3,366,319

30-34 1,380,300 1,435,002 2,815,302 30-34 1,412,613 1,472,018 2,884,631

35-39 1,128,142 1,176,689 2,304,831 35-39 1,166,080 1,219,929 2,386,009

40-44 939,191 985,850 1,925,041 40-44 961,427 1,011,414 1,972,841

45-49 781,050 827,235 1,608,285 45-49 801,451 851,106 1,652,557

50-54 651,657 699,748 1,351,405 50-54 664,205 715,226 1,379,431

55-59 548,903 601,335 1,150,238 55-59 556,079 611,482 1,167,561

60-64 438,968 492,380 931,348 60-64 447,151 504,484 951,635

65-69 326,168 376,599 702,767 65-69 332,240 386,576 718,816

70-74 222,305 265,808 488,113 70-74 226,077 273,000 499,077

75-79 131,289 164,199 295,488 75-79 134,267 169,635 303,902

80+ 84,990 116,985 201,975 80+ 88,161 121,854 210,015

Total 19,975,840 20,252,092 40,227,932 Total 20,262,524 20,581,290 40,843,814


1991 1992


0-4 2,508,084 2,476,178 4,984,262 0-4 2,513,013 2,480,508 4,993,521

5-9 2,504,541 2,440,706 4,945,247 5-9 2,445,555 2,411,311 4,856,866

10-14 2,587,514 2,461,522 5,049,036 10-14 2,625,238 2,489,727 5,114,965

15-19 2,305,765 2,247,056 4,552,821 15-19 2,353,666 2,283,861 4,637,527

20-24 1,989,561 1,998,790 3,988,351 20-24 2,027,475 2,034,441 4,061,916

25-29 1,695,155 1,744,391 3,439,546 25-29 1,728,779 1,780,063 3,508,842

30-34 1,441,723 1,506,215 2,947,938 30-34 1,469,069 1,538,956 3,008,025

35-39 1,204,547 1,264,528 2,469,075 35-39 1,241,073 1,307,762 2,548,835

40-44 984,046 1,037,822 2,021,868 40-44 1,008,519 1,066,816 2,075,335

45-49 822,584 876,001 1,698,585 45-49 843,765 901,168 1,744,933

50-54 677,980 732,115 1,410,095 50-54 692,934 750,403 1,443,337

55-59 563,360 621,621 1,184,981 55-59 571,351 632,476 1,203,827

60-64 455,321 516,498 971,819 60-64 463,166 528,042 991,208

65-69 338,576 396,822 735,398 65-69 345,100 407,263 752,363

70-74 229,982 280,382 510,364 70-74 234,097 288,017 522,114

75-79 137,094 175,027 312,121 75-79 139,819 180,409 320,228

80+ 91,335 126,921 218,256 80+ 94,460 132,125 226,585

Total 20,537,168 20,902,595 41,439,763 Total 20,797,079 21,213,348 42,010,427

1993 1994


0-4 2,515,797 2,482,752 4,998,549 0-4 2,518,309 2,484,794 5,003,103

5-9 2,402,531 2,391,305 4,793,836 5-9 2,414,679 2,402,446 4,817,125

10-14 2,639,396 2,502,854 5,142,250 10-14 2,590,342 2,478,740 5,069,082

15-19 2,400,349 2,319,661 4,720,010 15-19 2,447,555 2,355,968 4,803,523

20-24 2,065,078 2,068,626 4,133,704 20-24 2,106,647 2,103,871 4,210,518

25-29 1,759,482 1,813,622 3,573,104 25-29 1,790,916 1,847,367 3,638,283

30-34 1,495,615 1,571,180 3,066,795 30-34 1,524,326 1,604,677 3,129,003

35-39 1,273,894 1,347,665 2,621,559 35-39 1,303,921 1,384,451 2,688,372

40-44 1,035,729 1,099,473 2,135,202 40-44 1,066,956 1,136,791 2,203,747

45-49 864,562 926,150 1,790,712 45-49 884,946 950,680 1,835,626

50-54 709,009 770,048 1,479,057 50-54 726,499 791,338 1,517,837

55-59 580,483 644,577 1,225,060 55-59 590,880 658,071 1,248,951

60-64 470,533 538,895 1,009,428 60-64 477,377 548,996 1,026,373

65-69 351,754 417,826 769,580 65-69 358,596 428,584 787,180

70-74 238,459 295,941 534,400 70-74 243,066 304,144 547,210

75-79 142,491 185,801 328,292 75-79 145,139 191,230 336,369

80+ 97,511 137,426 234,937 80+ 100,488 142,808 243,296

Total 21,042,673 21,513,802 42,556,475 Total 21,290,642 21,814,956 43,105,598


1995 1996


0-4 2,519,842 2,485,897 5,005,739 0-4 2,519,550 2,485,273 5,004,823

5-9 2,425,179 2,412,048 4,837,227 5-9 2,434,109 2,420,187 4,854,296

10-14 2,536,256 2,451,277 4,987,533 10-14 2,478,825 2,422,016 4,900,841

15-19 2,493,972 2,391,707 4,885,679 15-19 2,538,091 2,425,492 4,963,583

20-24 2,151,507 2,139,951 4,291,458 20-24 2,198,934 2,176,839 4,375,773

25-29 1,823,770 1,881,662 3,705,432 25-29 1,858,827 1,916,695 3,775,522

30-34 1,555,115 1,639,195 3,194,310 30-34 1,587,603 1,674,494 3,262,097

35-39 1,331,757 1,418,709 2,750,466 35-39 1,358,440 1,451,377 2,809,817

40-44 1,101,500 1,177,959 2,279,459 40-44 1,137,724 1,221,122 2,358,846

45-49 905,196 975,072 1,880,268 45-49 926,408 1,000,610 1,927,018

50-54 745,361 814,246 1,559,607 50-54 765,147 838,261 1,603,408

55-59 602,438 672,869 1,275,307 55-59 615,176 689,026 1,304,202

60-64 483,904 558,580 1,042,484 60-64 490,533 568,157 1,058,690

65-69 365,609 439,500 805,109 65-69 372,582 450,311 822,893

70-74 247,882 312,580 560,462 70-74 252,865 321,206 574,071

75-79 147,805 196,726 344,531 75-79 150,545 202,336 352,881

80+ 103,389 148,253 251,642 80+ 106,213 153,753 259,966

Total 21,540,482 22,116,231 43,656,713 Total 21,791,572 22,417,155 44,208,727

1997 1998


0-4 2,519,278 2,484,725 5,004,003 0-4 2,519,775 2,484,949 5,004,724

5-9 2,439,886 2,425,256 4,865,142 5-9 2,443,644 2,428,396 4,872,040

10-14 2,420,585 2,393,046 4,813,631 10-14 2,378,281 2,373,519 4,751,800

15-19 2,576,620 2,454,470 5,031,090 15-19 2,592,157 2,468,776 5,060,933

20-24 2,248,127 2,214,512 4,462,639 20-24 2,298,270 2,252,834 4,551,104

25-29 1,897,022 1,952,647 3,849,669 25-29 1,939,108 1,989,715 3,928,823

30-34 1,621,090 1,710,125 3,331,215 30-34 1,655,160 1,745,789 3,400,949

35-39 1,385,543 1,483,908 2,869,451 35-39 1,414,173 1,517,348 2,931,521

40-44 1,173,374 1,263,705 2,437,079 40-44 1,206,888 1,303,873 2,510,761

45-49 950,080 1,029,040 1,979,120 45-49 977,146 1,061,473 2,038,619

50-54 785,261 862,690 1,647,951 50-54 805,357 887,124 1,692,481

55-59 629,085 706,543 1,335,628 55-59 644,135 725,415 1,369,550

60-64 497,801 578,397 1,076,198 60-64 506,101 589,797 1,095,898

65-69 379,268 460,681 839,949 65-69 385,549 470,440 855,989

70-74 257,970 329,969 587,939 70-74 263,165 338,823 601,988

75-79 153,408 208,118 361,526 75-79 156,431 214,101 370,532

80+ 108,967 159,298 268,265 80+ 111,667 164,896 276,563

Total 22,043,365 22,717,130 44,760,495 Total 22,297,007 23,017,268 45,314,275


1999 2000


0-4 2,518,891 2,483,852 5,002,743 0-4 2,517,571 2,482,337 4,999,908

5-9 2,446,851 2,431,065 4,877,916 5-9 2,448,807 2,432,553 4,881,360

10-14 2,390,424 2,384,693 4,775,117 10-14 2,400,651 2,394,080 4,794,731

15-19 2,542,602 2,444,135 4,986,737 15-19 2,486,182 2,414,634 4,900,816

20-24 2,343,503 2,288,277 4,631,780 20-24 2,383,170 2,320,083 4,703,253

25-29 1,980,184 2,024,802 4,004,986 25-29 2,019,420 2,057,596 4,077,016

30-34 1,686,528 1,779,531 3,466,059 30-34 1,715,579 1,811,524 3,527,103

35-39 1,442,701 1,550,730 2,993,431 35-39 1,470,823 1,583,664 3,054,487

40-44 1,236,461 1,340,284 2,576,745 40-44 1,262,503 1,373,416 2,635,919

45-49 1,007,456 1,098,110 2,105,566 45-49 1,040,226 1,138,092 2,178,318

50-54 824,819 910,981 1,735,800 50-54 843,858 934,538 1,778,396

55-59 660,379 745,778 1,406,157 55-59 677,757 767,598 1,445,355

60-64 515,464 602,438 1,117,902 60-64 525,792 616,238 1,142,030

65-69 391,381 479,519 870,900 65-69 396,948 488,144 885,092

70-74 268,489 347,829 616,318 70-74 273,933 356,955 630,888

75-79 159,604 220,280 379,884 75-79 162,907 226,622 389,529

80+ 114,311 170,539 284,850 80+ 116,922 176,247 293,169

Total 22,530,048 23,302,843 45,832,891 Total 22,743,049 23,574,321 46,317,370

2001 2002


0-4 2,515,303 2,479,906 4,995,209 0-4 2,511,578 2,476,063 4,987,641

5-9 2,448,700 2,432,051 4,880,751 5-9 2,448,345 2,431,367 4,879,712

10-14 2,409,070 2,401,785 4,810,855 10-14 2,414,153 2,406,241 4,820,394

15-19 2,425,039 2,382,188 4,807,227 15-19 2,362,161 2,349,225 4,711,386

20-24 2,416,430 2,347,171 4,763,601 20-24 2,440,672 2,367,004 4,807,676

25-29 2,055,950 2,087,967 4,143,917 25-29 2,088,821 2,115,803 4,204,624

30-34 1,742,798 1,841,780 3,584,578 30-34 1,768,813 1,870,296 3,639,109

35-39 1,497,958 1,615,771 3,113,729 35-39 1,523,213 1,646,458 3,169,671

40-44 1,285,846 1,404,073 2,689,919 40-44 1,307,838 1,433,581 2,741,419

45-49 1,073,776 1,179,558 2,253,334 45-49 1,105,852 1,219,934 2,325,786

50-54 863,456 959,008 1,822,464 50-54 884,971 986,052 1,871,023

55-59 695,839 790,385 1,486,224 55-59 714,068 813,472 1,527,540

60-64 537,105 631,251 1,168,356 60-64 549,391 647,491 1,196,882

65-69 402,599 496,764 899,363 65-69 408,777 505,967 914,744

70-74 279,339 365,986 645,325 70-74 284,518 374,650 659,168

75-79 166,316 233,103 399,419 75-79 169,807 239,688 409,495

80+ 119,534 182,051 301,585 80+ 122,182 187,985 310,167

Total 22,935,058 23,830,798 46,765,856 Total 23,105,160 24,071,277 47,176,437


2003 2004


0-4 2,504,267 2,468,679 4,972,946 0-4 2,494,773 2,459,142 4,953,915

5-9 2,448,382 2,431,113 4,879,495 5-9 2,447,199 2,429,683 4,876,882

10-14 2,417,059 2,408,608 4,825,667 10-14 2,419,590 2,410,663 4,830,253

15-19 2,314,564 2,325,206 4,639,770 15-19 2,322,193 2,332,757 4,654,950

20-24 2,439,328 2,370,086 4,809,414 20-24 2,376,697 2,336,406 4,713,103

25-29 2,117,079 2,140,869 4,257,948 25-29 2,143,280 2,164,805 4,308,085

30-34 1,794,085 1,897,100 3,691,185 30-34 1,820,300 1,923,146 3,743,446

35-39 1,545,977 1,675,301 3,221,278 35-39 1,567,358 1,702,996 3,270,354

40-44 1,329,387 1,462,855 2,792,242 40-44 1,351,540 1,492,487 2,844,027

45-49 1,134,861 1,257,388 2,392,249 45-49 1,160,450 1,291,395 2,451,845

50-54 909,230 1,016,712 1,925,942 50-54 936,700 1,051,516 1,988,216

55-59 732,115 836,475 1,568,590 55-59 749,655 858,990 1,608,645

60-64 562,639 664,954 1,227,593 60-64 576,975 683,832 1,260,807

65-69 415,804 516,197 932,001 65-69 423,728 527,551 951,279

70-74 289,392 382,820 672,212 70-74 293,951 390,471 684,422

75-79 173,364 246,361 419,725 75-79 177,025 253,176 430,201

80+ 124,890 194,081 318,971 80+ 127,669 200,341 328,010

Total 23,252,423 24,294,805 47,547,228 Total 23,389,083 24,509,357 47,898,440

2005 2006


0-4 2,483,416 2,447,711 4,931,127 0-4 2,468,724 2,432,959 4,901,683

5-9 2,445,717 2,427,960 4,873,677 5-9 2,443,507 2,425,525 4,869,032

10-14 2,421,045 2,411,687 4,832,732 10-14 2,420,601 2,410,869 4,831,470

15-19 2,329,006 2,339,403 4,668,409 15-19 2,334,859 2,345,046 4,679,905

20-24 2,310,067 2,299,668 4,609,735 20-24 2,241,194 2,261,603 4,502,797

25-29 2,166,890 2,186,916 4,353,806 25-29 2,187,179 2,206,199 4,393,378

30-34 1,846,823 1,948,242 3,795,065 30-34 1,872,977 1,972,363 3,845,340

35-39 1,587,874 1,729,816 3,317,690 35-39 1,608,126 1,755,856 3,363,982

40-44 1,374,125 1,522,160 2,896,285 40-44 1,396,682 1,551,570 2,948,252

45-49 1,183,095 1,322,469 2,505,564 45-49 1,203,665 1,351,433 2,555,098

50-54 966,673 1,089,672 2,056,345 50-54 997,619 1,129,394 2,127,013

55-59 766,921 881,302 1,648,223 55-59 784,839 904,582 1,689,421

60-64 592,365 704,105 1,296,470 60-64 608,440 725,327 1,333,767

65-69 432,486 539,963 972,449 65-69 442,105 553,497 995,602

70-74 298,357 397,814 696,171 70-74 302,882 405,227 708,109

75-79 180,787 260,126 440,913 75-79 184,550 267,048 451,598

80+ 130,521 206,765 337,286 80+ 133,451 213,365 346,816

Total 23,516,168 24,715,779 48,231,947 Total 23,631,400 24,911,863 48,543,263


2007 2008


0-4 2,453,096 2,417,265 4,870,361 0-4 2,439,048 2,403,062 4,842,110

5-9 2,440,144 2,421,946 4,862,090 5-9 2,433,528 2,415,127 4,848,655

10-14 2,420,053 2,410,003 4,830,056 10-14 2,420,016 2,409,683 4,829,699

15-19 2,337,984 2,347,941 4,685,925 15-19 2,339,276 2,349,039 4,688,315

20-24 2,172,652 2,224,478 4,397,130 20-24 2,120,851 2,197,492 4,318,343

25-29 2,201,679 2,220,212 4,421,891 25-29 2,194,164 2,219,606 4,413,770

30-34 1,898,004 1,995,523 3,893,527 30-34 1,921,135 2,017,596 3,938,731

35-39 1,628,859 1,781,220 3,410,079 35-39 1,650,652 1,806,020 3,456,672

40-44 1,418,454 1,580,225 2,998,679 40-44 1,438,959 1,607,766 3,046,725

45-49 1,223,522 1,379,635 2,603,157 45-49 1,243,599 1,408,003 2,651,602

50-54 1,027,457 1,168,259 2,195,716 50-54 1,054,738 1,204,523 2,259,261

55-59 804,680 930,435 1,735,115 55-59 827,226 959,858 1,787,084

60-64 624,729 746,911 1,371,640 60-64 640,962 768,516 1,409,478

65-69 452,597 568,196 1,020,793 65-69 463,966 584,072 1,048,038

70-74 307,866 413,213 721,079 70-74 313,554 422,134 735,688

75-79 188,187 273,764 461,951 75-79 191,659 280,181 471,840

80+ 136,468 220,165 356,633 80+ 139,579 227,174 366,753

Total 23,736,431 25,099,391 48,835,822 Total 23,832,912 25,279,852 49,112,764

2009 2010


0-4 2,424,574 2,388,389 4,812,963 0-4 2,411,099 2,374,635 4,785,734

5-9 2,425,129 2,406,505 4,831,634 5-9 2,415,230 2,396,343 4,811,573

10-14 2,419,220 2,408,588 4,827,808 10-14 2,418,526 2,407,571 4,826,097

15-19 2,343,505 2,352,469 4,695,974 15-19 2,349,334 2,357,030 4,706,364

20-24 2,131,063 2,206,501 4,337,564 20-24 2,147,152 2,218,917 4,366,069

25-29 2,133,137 2,186,803 4,319,940 25-29 2,075,290 2,155,366 4,230,656

30-34 1,947,046 2,041,522 3,988,568 30-34 1,975,629 2,066,886 4,042,515

35-39 1,676,501 1,831,933 3,508,434 35-39 1,706,093 1,858,992 3,565,085

40-44 1,459,895 1,635,211 3,095,106 40-44 1,482,023 1,662,990 3,145,013

45-49 1,265,162 1,437,240 2,702,402 45-49 1,288,201 1,467,145 2,755,346

50-54 1,079,225 1,237,734 2,316,959 50-54 1,101,458 1,268,455 2,369,913

55-59 852,935 993,372 1,846,307 55-59 881,184 1,030,253 1,911,437

60-64 656,888 789,798 1,446,686 60-64 672,735 811,059 1,483,794

65-69 476,341 601,312 1,077,653 65-69 489,695 619,923 1,109,618

70-74 319,999 432,075 752,074 70-74 327,149 443,005 770,154

75-79 194,977 286,317 481,294 75-79 198,266 292,353 490,619

80+ 142,835 234,459 377,294 80+ 146,233 242,026 388,259

Total 23,948,432 25,470,228 49,418,660 Total 24,085,297 25,672,949 49,758,246


2011 2012


0-4 2,403,078 2,366,154 4,769,232 0-4 2,399,471 2,361,946 4,761,417

5-9 2,402,565 2,383,387 4,785,952 5-9 2,389,444 2,369,929 4,759,373

10-14 2,417,483 2,406,187 4,823,670 10-14 2,415,632 2,403,971 4,819,603

15-19 2,355,328 2,361,421 4,716,749 15-19 2,362,641 2,366,929 4,729,570

20-24 2,168,099 2,234,250 4,402,349 20-24 2,191,277 2,250,363 4,441,640

25-29 2,022,589 2,127,157 4,149,746 25-29 1,977,801 2,104,553 4,082,354

30-34 2,006,595 2,092,962 4,099,557 30-34 2,037,931 2,117,599 4,155,530

35-39 1,739,093 1,887,397 3,626,490 35-39 1,775,069 1,917,382 3,692,451

40-44 1,506,198 1,691,376 3,197,574 40-44 1,533,410 1,720,626 3,254,036

45-49 1,312,444 1,497,530 2,809,974 45-49 1,337,336 1,528,011 2,865,347

50-54 1,122,366 1,297,541 2,419,907 50-54 1,143,325 1,326,344 2,469,669

55-59 910,620 1,068,852 1,979,472 55-59 939,392 1,106,897 2,046,289

60-64 689,371 833,412 1,522,783 60-64 707,951 858,369 1,566,320

65-69 503,751 639,527 1,143,278 65-69 518,133 659,631 1,177,764

70-74 335,050 455,005 790,055 70-74 343,736 468,140 811,876

75-79 201,717 298,590 500,307 75-79 205,569 305,411 510,980

80+ 149,720 249,799 399,519 80+ 153,238 257,689 410,927

Total 24,246,067 25,890,547 50,136,614 Total 24,431,356 26,123,790 50,555,146

2013 2014*


0-4 2,399,323 2,361,094 4,760,417 0-4 2,405,528 2,366,427 4,771,955

5-9 2,378,369 2,358,421 4,736,790 5-9 2,366,962 2,346,515 4,713,477

10-14 2,410,843 2,398,806 4,809,649 10-14 2,404,124 2,391,705 4,795,829

15-19 2,371,257 2,373,661 4,744,918 15-19 2,377,500 2,378,337 4,755,837

20-24 2,216,703 2,267,805 4,484,508 20-24 2,241,263 2,285,264 4,526,527

25-29 1,957,297 2,096,820 4,054,117 25-29 1,994,455 2,122,693 4,117,148

30-34 2,054,087 2,131,811 4,185,898 30-34 2,015,258 2,112,765 4,128,023

35-39 1,813,584 1,949,044 3,762,628 35-39 1,853,390 1,981,748 3,835,138

40-44 1,564,475 1,751,022 3,315,497 40-44 1,598,750 1,782,155 3,380,905

45-49 1,362,569 1,558,351 2,920,920 45-49 1,387,940 1,588,509 2,976,449

50-54 1,165,301 1,355,823 2,521,124 50-54 1,188,672 1,386,208 2,574,880

55-59 966,219 1,142,788 2,109,007 55-59 990,602 1,175,938 2,166,540

60-64 729,190 886,884 1,616,074 60-64 753,390 919,383 1,672,773

65-69 532,639 679,967 1,212,606 65-69 547,051 700,223 1,247,274

70-74 353,228 482,454 835,682 70-74 363,627 498,114 861,741

75-79 209,987 313,097 523,084 75-79 214,999 321,718 536,717

80+ 156,773 265,682 422,455 80+ 160,355 273,842 434,197

Total 24,641,844 26,373,530 51,015,374 Total 24,863,866 26,631,544 51,495,410

2014* (Estimate)


APPeNDIX B: Projected vital events, 1983 to 2014

Vital Statistics Summary: 1 Apr 1983 - 1 Apr 1984

Absolute Numbers Annual Vital Rates

Males Females Total Males Females Total

Births 551,265 530,063 1,081,328 0.030 0.029 0.030

Deaths 228,761 179,065 407,827 0.013 0.010 0.011

Migrants -10,247 -6,553 -16,800 -0.001 -0.000 -0.000

Growth 312,257 344,445 656,702 0.017 0.019 0.018




Births 553,085 531,813 1,084,898 0.030 0.028 0.029

Deaths 224,523 176,741 401,264 0.012 0.009 0.011

Migrants -13,784 -8,816 -22,600 -0.001 -0.000 -0.001

Growth 314,778 346,256 661,034 0.017 0.019 0.018




Births 555,476 534,112 1,089,588 0.029 0.028 0.029

Deaths 223,088 175,737 398,825 0.012 0.009 0.011

Migrants -17,322 -11,078 -28,400 -0.001 -0.001 -0.001

Growth 315,066 347,296 662,363 0.017 0.018 0.017




Births 557,270 535,836 1,093,106 0.029 0.028 0.028

Deaths 222,550 175,560 398,110 0.012 0.009 0.010

Migrants -20,860 -13,340 -34,200 -0.001 -0.001 -0.001

Growth 313,860 346,936 660,796 0.016 0.018 0.017




Births 558,407 536,930 1,095,337 0.029 0.027 0.028

Deaths 222,688 175,763 398,451 0.011 0.009 0.010

Migrants -24,397 -15,603 -40,000 -0.001 -0.001 -0.001

Growth 311,322 345,564 656,886 0.016 0.018 0.017





Births 558,676 537,189 1,095,865 0.028 0.027 0.027

Deaths 223,047 176,424 399,471 0.011 0.009 0.010

Migrants -36,596 -23,404 -60,000 -0.002 -0.001 -0.002

Growth 299,034 337,360 636,394 0.015 0.017 0.016




Births 559,373 537,859 1,097,232 0.028 0.026 0.027

Deaths 223,889 177,460 401,350 0.011 0.009 0.010

Migrants -48,795 -31,205 -80,000 -0.002 -0.002 -0.002

Growth 286,689 329,194 615,883 0.014 0.016 0.015




Births 560,592 539,031 1,099,623 0.027 0.026 0.027

Deaths 224,961 178,709 403,671 0.011 0.009 0.010

Migrants -60,993 -39,007 -100,000 -0.003 -0.002 -0.002

Growth 274,638 321,314 595,952 0.013 0.015 0.014




Births 559,288 537,777 1,097,065 0.027 0.026 0.026

Deaths 226,185 180,219 406,404 0.011 0.009 0.010

Migrants -73,192 -46,808 -120,000 -0.004 -0.002 -0.003

Growth 259,911 310,750 570,661 0.013 0.015 0.014




Births 558,523 537,042 1,095,565 0.027 0.025 0.026

Deaths 227,540 181,974 409,514 0.011 0.009 0.010

Migrants -85,391 -54,609 -140,000 -0.004 -0.003 -0.003

Growth 245,593 300,459 546,051 0.012 0.014 0.013





Births 558,681 537,193 1,095,874 0.026 0.025 0.026

Deaths 229,269 183,963 413,232 0.011 0.008 0.010

Migrants -81,438 -52,082 -133,520 -0.004 -0.002 -0.003

Growth 247,974 301,148 549,122 0.012 0.014 0.013




Births 558,474 536,995 1,095,469 0.026 0.024 0.025

Deaths 231,150 186,166 417,317 0.011 0.008 0.010

Migrants -77,486 -49,554 -127,040 -0.004 -0.002 -0.003

Growth 249,838 301,274 551,113 0.012 0.014 0.013




Births 557,881 536,424 1,094,306 0.026 0.024 0.025

Deaths 233,260 188,472 421,731 0.011 0.008 0.010

Migrants -73,534 -47,026 -120,560 -0.003 -0.002 -0.003

Growth 251,088 300,927 552,015 0.012 0.014 0.013




Births 556,861 535,443 1,092,304 0.025 0.024 0.025

Deaths 235,485 190,971 426,456 0.011 0.008 0.010

Migrants -69,581 -44,499 -114,080 -0.003 -0.002 -0.003

Growth 251,795 299,973 551,768 0.011 0.013 0.012




Births 557,077 535,651 1,092,728 0.025 0.023 0.024

Deaths 237,809 193,541 431,350 0.011 0.008 0.010

Migrants -65,629 -41,971 -107,600 -0.003 -0.002 -0.002

Growth 253,639 300,139 553,778 0.011 0.013 0.012





Births 556,204 534,811 1,091,015 0.025 0.023 0.024

Deaths 240,209 196,189 436,398 0.011 0.008 0.010

Migrants -82,951 -53,049 -136,000 -0.004 -0.002 -0.003

Growth 233,044 285,573 518,617 0.010 0.012 0.011




Births 555,836 534,457 1,090,293 0.025 0.023 0.024

Deaths 242,571 198,843 441,414 0.011 0.008 0.010

Migrants -100,273 -64,127 -164,400 -0.004 -0.003 -0.004

Growth 212,992 271,488 484,479 0.009 0.012 0.011




Births 554,456 533,131 1,087,587 0.024 0.022 0.023

Deaths 244,845 201,459 446,303 0.011 0.009 0.010

Migrants -117,595 -75,205 -192,800 -0.005 -0.003 -0.004

Growth 192,017 256,468 448,484 0.008 0.011 0.010




Births 552,009 530,778 1,082,788 0.024 0.022 0.023

Deaths 246,990 204,014 451,004 0.011 0.009 0.010

Migrants -134,917 -86,283 -221,200 -0.006 -0.004 -0.005

Growth 170,103 240,481 410,584 0.007 0.010 0.009




Births 548,261 527,174 1,075,435 0.024 0.022 0.023

Deaths 248,758 206,286 455,044 0.011 0.009 0.010

Migrants -152,239 -97,361 -249,600 -0.007 -0.004 -0.005

Growth 147,264 223,527 370,791 0.006 0.009 0.008





Births 544,726 523,775 1,068,501 0.023 0.021 0.022

Deaths 250,482 208,449 458,931 0.011 0.009 0.010

Migrants -157,582 -100,778 -258,360 -0.007 -0.004 -0.005

Growth 136,662 214,548 351,210 0.006 0.009 0.007




Births 541,923 521,080 1,063,003 0.023 0.021 0.022

Deaths 251,918 210,459 462,376 0.011 0.009 0.010

Migrants -162,925 -104,195 -267,120 -0.007 -0.004 -0.006

Growth 127,081 206,426 333,507 0.005 0.008 0.007




Births 536,640 516,000 1,052,639 0.023 0.021 0.022

Deaths 253,141 212,301 465,442 0.011 0.009 0.010

Migrants -168,268 -107,612 -275,880 -0.007 -0.004 -0.006

Growth 115,231 196,087 311,318 0.005 0.008 0.006




Births 532,825 512,332 1,045,157 0.023 0.020 0.021

Deaths 254,180 213,774 467,954 0.011 0.009 0.010

Migrants -173,611 -111,029 -284,640 -0.007 -0.004 -0.006

Growth 105,034 187,529 292,563 0.004 0.008 0.006




Births 530,454 510,052 1,040,506 0.022 0.020 0.021

Deaths 255,018 215,153 470,171 0.011 0.009 0.010

Migrants -178,954 -114,446 -293,400 -0.008 -0.005 -0.006

Growth 96,482 180,453 276,935 0.004 0.007 0.006





Births 525,775 505,553 1,031,329 0.022 0.020 0.021

Deaths 255,533 216,218 471,750 0.011 0.009 0.010

Migrants -154,728 -98,952 -253,680 -0.006 -0.004 -0.005

Growth 115,515 190,384 305,898 0.005 0.008 0.006




Births 523,312 503,185 1,026,497 0.022 0.020 0.021

Deaths 255,939 217,007 472,946 0.011 0.008 0.010

Migrants -130,501 -83,459 -213,960 -0.005 -0.003 -0.004

Growth 136,872 202,718 339,590 0.006 0.008 0.007




Births 523,295 503,168 1,026,463 0.022 0.020 0.021

Deaths 256,249 217,610 473,859 0.011 0.008 0.009

Migrants -106,275 -67,965 -174,240 -0.004 -0.003 -0.003

Growth 160,771 217,593 378,364 0.007 0.008 0.008




Births 523,696 503,554 1,027,250 0.022 0.019 0.020

Deaths 256,364 217,835 474,199 0.011 0.008 0.009

Migrants -82,048 -52,472 -134,520 -0.003 -0.002 -0.003

Growth 185,284 233,247 418,531 0.008 0.009 0.008




Births 524,553 504,378 1,028,931 0.021 0.019 0.020

Deaths 256,245 217,660 473,904 0.010 0.008 0.009

Migrants -57,822 -36,978 -94,800 -0.002 -0.001 -0.002

Growth 210,487 249,740 460,227 0.009 0.010 0.009


Vital Statistics Summary: 1 Apr 2013 - 1 Apr 2014*



Births 526,495 506,245 1,032,740 0.021 0.019 0.020

Deaths 255,771 217,092 472,862 0.010 0.008 0.009

Migrants -48,697 -31,143 -79,840 -0.002 -0.001 -0.002

Growth 222,027 258,010 480,037 0.009 0.010 0.009


APPeNDIX C: Population projections by single age and sex, 1983 to 2014

1983 1984

Age Males Females Total Age Males Females Total

0 575,357 535,285 1,110,642 0 515,045 502,104 1,017,149

1 563,424 526,711 1,090,135 1 548,380 518,349 1,066,729

2 551,696 518,059 1,069,755 2 555,165 520,130 1,075,295

3 540,125 509,347 1,049,472 3 547,028 514,335 1,061,363

4 528,663 500,596 1,029,259 4 537,019 506,892 1,043,911

5 517,257 491,829 1,009,086 5 526,732 499,074 1,025,806

6 505,861 483,061 988,922 6 515,465 490,461 1,005,926

7 494,432 474,312 968,744 7 504,425 481,988 986,413

8 482,944 465,587 948,531 8 493,236 473,436 966,672

9 471,406 456,870 928,276 9 481,912 464,841 946,753

10 459,870 448,121 907,991 10 470,476 456,202 926,678

11 448,422 439,274 887,696 11 459,001 447,493 906,494

12 437,166 430,259 867,425 12 447,585 438,667 886,252

13 426,160 421,029 847,189 13 436,348 429,663 866,011

14 415,335 411,617 826,952 14 425,309 420,407 845,716

15 404,677 402,154 806,831 15 414,328 410,878 825,206

16 394,000 392,642 786,642 16 403,501 401,291 804,792

17 383,101 382,952 766,053 17 392,757 391,735 784,492

18 371,870 373,059 744,929 18 381,791 382,001 763,792

19 360,447 363,030 723,477 19 370,497 372,065 742,562

20 348,927 352,835 701,762 20 358,868 361,927 720,795

21 337,630 342,673 680,303 21 347,152 351,630 698,782

22 326,856 332,800 659,656 22 335,825 341,435 677,260

23 316,791 323,352 640,143 23 325,029 331,537 656,566

24 307,235 314,177 621,412 24 314,949 322,069 637,018

25 298,105 305,323 603,428 25 305,430 312,902 618,332

26 288,889 296,317 585,206 26 296,342 304,062 600,404

27 279,069 286,562 565,631 27 287,129 295,048 582,177

28 268,350 275,757 544,107 28 277,319 285,289 562,608

29 257,105 264,319 521,424 29 266,616 274,491 541,107

30 245,746 252,665 498,411 30 255,467 263,108 518,575

31 235,006 241,618 476,624 31 244,204 251,515 495,719

32 225,385 231,775 457,160 32 233,483 240,480 473,963

33 217,276 223,593 440,869 33 223,872 230,649 454,521

34 210,344 216,695 427,039 34 215,764 222,472 438,236

35 203,968 210,371 414,339 35 208,881 215,610 424,491

36 197,613 204,028 401,641 36 202,545 209,322 411,867

37 191,268 197,656 388,924 37 196,174 202,973 399,147

38 184,732 191,041 375,773 38 189,808 196,597 386,405

39 178,136 184,330 362,466 39 183,250 189,977 373,227

40 171,762 177,835 349,597 40 176,677 183,286 359,963

41 165,811 171,789 337,600 41 170,320 176,811 347,131

42 160,234 166,141 326,375 42 164,335 170,753 335,088


1983 1984


43 155,085 160,961 316,046 43 158,718 165,089 323,807

44 150,310 156,187 306,497 44 153,524 159,887 313,411

45 145,711 151,591 297,302 45 148,727 155,103 303,830

46 141,282 147,169 288,451 46 144,100 150,494 294,594

47 137,203 143,122 280,325 47 139,612 146,036 285,648

48 133,503 139,487 272,990 48 135,466 141,949 277,415

49 130,074 136,145 266,219 49 131,691 138,268 269,959

50 126,847 133,016 259,863 50 128,197 134,880 263,077

51 123,602 129,861 253,463 51 124,898 131,700 256,598

52 120,125 126,436 246,561 52 121,563 128,479 250,042

53 116,272 122,587 238,859 53 117,994 124,989 242,983

54 112,139 118,420 230,559 54 114,055 121,075 235,130

55 107,965 114,195 222,160 55 109,846 116,846 226,692

56 103,866 110,052 213,918 56 105,596 112,559 218,155

57 99,742 105,884 205,626 57 101,415 108,345 209,760

58 95,613 101,712 197,325 58 97,210 104,105 201,315

59 91,483 97,544 189,027 59 93,001 99,861 192,862

60 87,328 93,343 180,671 60 88,798 95,618 184,416

61 83,169 89,131 172,300 61 84,572 91,345 175,917

62 79,071 84,974 164,045 62 80,346 87,060 167,406

63 75,060 80,894 155,954 63 76,184 82,828 159,012

64 71,114 76,875 147,989 64 72,113 78,673 150,786

65 67,193 72,874 140,067 65 68,113 74,581 142,694

66 63,266 68,865 132,131 66 64,145 70,511 134,656

67 59,341 64,856 124,197 67 60,181 66,437 126,618

68 55,408 60,839 116,247 68 56,231 62,370 118,601

69 51,473 56,817 108,290 69 52,289 58,303 110,592

70 47,544 52,800 100,344 70 48,360 54,244 102,604

71 43,629 48,795 92,424 71 44,457 50,200 94,657

72 39,732 44,804 84,536 72 40,588 46,183 86,771

73 35,853 40,826 76,679 73 36,761 42,197 78,958

74 31,986 36,858 68,844 74 32,977 38,246 71,223

75 28,126 32,895 61,021 75 29,236 34,328 63,564

76 24,267 28,929 53,196 76 25,534 30,444 55,978

77 20,400 24,956 45,356 77 21,871 26,590 48,461

78 16,519 20,969 37,488 78 18,243 22,768 41,011

79 12,617 16,962 29,579 79 14,650 18,976 33,626

80+ 77,154 102,156 179,310 80+ 75,079 101,160 176,239

Total 18,109,523 18,184,233 36,293,756 Total 18,421,780 18,528,682 36,950,462


1985 1986


0 517,240 504,235 1,021,475 0 519,923 506,845 1,026,768

1 491,764 486,815 978,579 1 494,646 489,426 984,072

2 540,591 512,106 1,052,697 2 484,975 481,148 966,123

3 550,610 516,528 1,067,138 3 536,279 508,679 1,044,958

4 543,973 511,944 1,055,917 4 547,617 514,205 1,061,822

5 535,110 505,402 1,040,512 5 542,086 510,486 1,052,572

6 524,959 497,736 1,022,695 6 533,356 504,092 1,037,448

7 514,042 489,408 1,003,450 7 523,546 496,701 1,020,247

8 503,236 481,127 984,363 8 512,859 488,560 1,001,419

9 492,208 472,701 964,909 9 502,210 480,402 982,612

10 480,981 464,180 945,161 10 491,276 472,044 963,320

11 469,603 455,578 925,181 11 480,102 463,558 943,660

12 458,158 446,889 905,047 12 468,754 454,975 923,729

13 446,762 438,072 884,834 13 457,328 446,295 903,623

14 435,492 429,042 864,534 14 445,899 437,452 883,351

15 424,259 419,641 843,900 15 434,397 428,247 862,644

16 413,072 409,957 823,029 16 422,919 418,663 841,582

17 402,176 400,329 802,505 17 411,664 408,938 820,602

18 391,363 390,729 782,092 18 400,699 399,266 799,965

19 380,333 380,952 761,285 19 389,820 389,624 779,444

20 368,779 370,884 739,663 20 378,475 379,690 758,165

21 356,902 360,618 717,520 21 366,619 369,471 736,090

22 345,155 350,291 695,446 22 354,710 359,174 713,884

23 333,806 340,071 673,877 23 342,942 348,822 691,764

24 322,997 330,153 653,150 24 331,582 338,581 670,163

25 312,971 320,703 633,674 25 320,844 328,692 649,536

26 303,511 311,558 615,069 26 310,894 319,272 630,166

27 294,425 302,707 597,132 27 301,436 310,119 611,555

28 285,218 293,688 578,906 28 292,355 301,260 593,615

29 275,419 283,930 559,349 29 283,156 292,236 575,392

30 264,834 273,198 538,032 30 273,495 282,557 556,052

31 253,804 261,888 515,692 31 263,049 271,910 534,959

32 242,559 250,309 492,868 32 252,035 260,610 512,645

33 231,852 239,288 471,140 33 240,805 249,044 489,849

34 222,249 229,466 451,715 34 230,110 238,034 468,144

35 214,214 221,342 435,556 35 220,604 228,284 448,888

36 207,392 214,530 421,922 36 212,655 220,225 432,880

37 201,038 208,234 409,272 37 205,816 213,407 419,223

38 194,645 201,879 396,524 38 199,437 207,105 406,542

39 188,254 195,495 383,749 39 193,017 200,740 393,757

40 181,731 188,904 370,635 40 186,674 194,393 381,067

41 175,190 182,242 357,432 41 180,197 187,838 368,035

42 168,800 175,755 344,555 42 173,622 181,163 354,785

43 162,777 169,681 332,458 43 167,195 174,660 341,855

44 157,117 163,997 321,114 44 161,130 168,566 329,696


1985 1986


45 151,912 158,792 310,704 45 155,472 162,886 318,358

46 147,098 153,999 301,097 46 150,261 157,680 307,941

47 142,412 149,355 291,767 47 145,387 152,853 298,240

48 137,860 144,859 282,719 48 140,638 148,170 288,808

49 133,644 140,727 274,371 49 136,019 143,631 279,650

50 129,813 137,006 266,819 50 131,757 139,465 271,222

51 126,256 133,570 259,826 51 127,872 135,701 263,573

52 122,865 130,326 253,191 52 124,226 132,203 256,429

53 119,436 127,037 246,473 53 120,741 128,890 249,631

54 115,774 123,476 239,250 54 117,215 125,526 242,741

55 111,756 119,496 231,252 55 113,469 121,896 235,365

56 107,472 115,203 222,675 56 109,371 117,848 227,219

57 103,139 110,847 213,986 57 105,003 113,483 218,486

58 98,875 106,560 205,435 58 100,589 109,052 209,641

59 94,591 102,244 196,835 59 96,243 104,688 200,931

60 90,308 97,925 188,233 60 91,884 100,296 192,180

61 86,033 93,609 179,642 61 87,530 95,902 183,432

62 81,738 89,259 170,997 62 83,184 91,506 174,690

63 77,449 84,900 162,349 63 78,825 87,079 165,904

64 73,229 80,593 153,822 64 74,479 82,644 157,123

65 69,105 76,366 145,471 65 70,208 78,266 148,474

66 65,058 72,204 137,262 66 66,039 73,968 140,007

67 61,052 68,065 129,117 67 61,954 69,735 131,689

68 57,062 63,930 120,992 68 57,919 65,534 123,453

69 53,099 59,810 112,909 69 53,913 61,344 115,257

70 49,159 55,701 104,860 70 49,950 57,177 107,127

71 45,251 51,611 96,862 71 46,027 53,034 99,061

72 41,388 47,551 88,939 72 42,155 48,922 91,077

73 37,581 43,533 81,114 73 38,347 44,858 83,205

74 33,838 39,566 73,404 74 34,617 40,852 75,469

75 30,165 35,655 65,820 75 30,975 36,918 67,893

76 26,563 31,803 58,366 76 27,428 33,062 60,490

77 23,033 28,012 51,045 77 23,979 29,291 53,270

78 19,576 24,286 43,862 78 20,632 25,611 46,243

79 16,194 20,628 36,822 79 17,391 22,028 39,419

80+ 75,202 102,253 177,455 80+ 76,714 104,775 181,489

Total 18,736,557 18,874,939 37,611,496 Total 19,051,622 19,222,233 38,273,855


1987 1988


0 522,001 508,851 1,030,852 0 523,407 510,229 1,033,636

1 497,916 492,428 990,344 1 500,507 494,807 995,314

2 487,996 483,898 971,894 2 491,373 487,023 978,396

3 481,199 478,020 959,219 3 484,278 480,840 965,118

4 533,432 506,455 1,039,887 4 478,689 475,982 954,671

5 545,759 512,780 1,058,539 5 531,653 505,086 1,036,739

6 540,352 509,201 1,049,553 6 544,048 511,524 1,055,572

7 531,953 503,073 1,035,026 7 538,957 508,199 1,047,156

8 522,367 495,862 1,018,229 8 530,776 502,245 1,033,021

9 511,835 487,842 999,677 9 521,342 495,150 1,016,492

10 501,275 479,749 981,024 10 510,895 487,190 998,085

11 490,390 471,422 961,812 11 500,381 479,125 979,506

12 479,246 462,953 942,199 12 489,523 470,817 960,340

13 467,916 454,379 922,295 13 478,397 462,356 940,753

14 456,456 445,674 902,130 14 467,032 453,757 920,789

15 444,756 436,628 881,384 15 455,264 444,818 900,082

16 432,972 427,209 860,181 16 443,243 435,529 878,772

17 421,426 417,584 839,010 17 431,390 426,070 857,460

18 410,100 407,817 817,917 18 419,773 416,402 836,175

19 399,069 398,102 797,171 19 408,381 406,593 814,974

20 387,821 388,279 776,100 20 396,927 396,674 793,601

21 376,120 378,170 754,290 21 385,270 386,651 771,921

22 364,231 367,919 732,150 22 373,534 376,510 750,044

23 352,301 357,597 709,898 23 361,623 366,232 727,855

24 340,522 347,223 687,745 24 349,681 355,889 705,570

25 329,250 337,020 666,270 25 338,006 345,562 683,568

26 318,605 327,172 645,777 26 326,843 335,410 662,253

27 308,659 317,743 626,402 27 316,205 325,551 641,756

28 299,207 308,581 607,788 28 306,266 316,114 622,380

29 290,132 299,718 589,850 29 296,821 306,947 603,768

30 281,093 290,784 571,877 30 287,930 298,188 586,118

31 271,592 281,199 552,791 31 279,073 289,362 568,435

32 261,157 270,559 531,716 32 269,577 279,778 549,355

33 250,154 259,270 509,424 33 259,149 269,144 528,293

34 238,936 247,715 486,651 34 248,155 257,862 506,017

35 228,361 236,792 465,153 35 237,076 246,408 483,484

36 218,966 227,126 446,092 36 226,634 235,585 462,219

37 211,004 219,065 430,069 37 217,233 225,920 443,153

38 204,142 212,241 416,383 38 209,252 217,857 427,109

39 197,735 205,926 403,661 39 202,363 211,022 413,385

40 191,377 199,607 390,984 40 196,033 204,760 400,793

41 185,093 193,301 378,394 41 189,747 198,491 388,238

42 178,579 186,731 365,310 42 183,422 192,168 375,590

43 171,966 180,039 352,005 43 176,867 185,579 362,446

44 165,497 173,518 339,015 44 170,211 178,869 349,080


1987 1988


45 159,445 167,435 326,880 45 163,766 172,364 336,130

46 153,793 161,760 315,553 46 157,732 166,291 324,023

47 148,525 156,521 305,046 47 152,024 160,585 312,609

48 143,588 151,654 295,242 48 146,694 155,309 302,003

49 138,772 146,929 285,701 49 141,690 150,400 292,090

50 134,115 142,361 276,476 50 136,843 145,646 282,489

51 129,808 138,158 267,966 51 132,150 141,047 273,197

52 125,838 134,334 260,172 52 127,762 136,786 264,548

53 122,101 130,768 252,869 53 123,705 132,896 256,601

54 118,520 127,379 245,899 54 119,874 129,257 249,131

55 114,907 123,945 238,852 55 116,208 125,797 242,005

56 111,077 120,240 231,317 56 112,509 122,285 234,794

57 106,888 116,114 223,002 57 108,579 118,497 227,076

58 102,435 111,673 214,108 58 104,299 114,289 218,588

59 97,940 107,165 205,105 59 99,763 109,767 209,530

60 93,519 102,723 196,242 60 95,194 105,181 200,375

61 89,088 98,254 187,342 61 90,701 100,659 191,360

62 84,662 93,779 178,441 62 86,196 96,107 182,303

63 80,250 89,303 169,553 63 81,702 91,549 173,251

64 75,832 84,798 160,630 64 77,229 86,992 164,221

65 71,436 80,290 151,726 65 72,760 82,412 155,172

66 67,123 75,840 142,963 66 68,323 77,831 146,154

67 62,917 71,472 134,389 67 63,975 73,311 137,286

68 58,803 67,174 125,977 68 59,742 68,877 128,619

69 54,751 62,914 117,665 69 55,611 64,519 120,130

70 50,743 58,675 109,418 70 51,555 60,207 111,762

71 46,794 54,470 101,264 71 47,559 55,928 103,487

72 42,902 50,302 93,204 72 43,638 51,694 95,332

73 39,081 46,181 85,262 73 39,793 47,513 87,306

74 35,344 42,125 77,469 74 36,039 43,396 79,435

75 31,708 38,146 69,854 75 32,392 39,361 71,753

76 28,182 34,261 62,443 76 28,865 35,427 64,292

77 24,776 30,478 55,254 77 25,473 31,606 57,079

78 21,494 26,805 48,299 78 22,222 27,913 50,135

79 18,342 23,252 41,594 79 19,120 24,356 43,476

80+ 79,071 108,263 187,334 80+ 81,909 112,407 194,316

Total 19,365,486 19,569,163 38,934,649 Total 19,676,803 19,914,737 39,591,540


1989 1990


0 523,964 510,751 1,034,715 0 524,864 511,625 1,036,489

1 502,392 496,490 998,882 1 503,360 497,290 1,000,650

2 494,047 489,485 983,532 2 495,998 491,238 987,236

3 487,682 483,994 971,676 3 490,373 486,478 976,851

4 481,775 478,811 960,586 4 485,174 481,966 967,140

5 477,094 474,700 951,794 5 480,171 477,526 957,697

6 530,004 503,864 1,033,868 6 475,617 473,557 949,174

7 542,656 510,526 1,053,182 7 528,652 502,885 1,031,537

8 537,772 507,366 1,045,138 8 541,465 509,690 1,051,155

9 529,738 501,524 1,031,262 9 536,720 506,636 1,043,356

10 520,377 494,481 1,014,858 10 528,748 500,836 1,029,584

11 509,966 486,542 996,508 11 519,412 493,805 1,013,217

12 499,479 478,493 977,972 12 509,028 485,882 994,910

13 488,639 470,192 958,831 13 498,557 477,841 976,398

14 477,476 461,708 939,184 14 487,679 469,516 957,195

15 465,672 452,772 918,444 15 475,946 460,593 936,539

16 453,452 443,489 896,941 16 463,558 451,212 914,770

17 441,361 434,159 875,520 17 451,268 441,887 893,155

18 429,437 424,657 854,094 18 439,105 432,515 871,620

19 417,752 414,949 832,701 19 427,112 422,972 850,084

20 405,757 404,852 810,609 20 414,643 412,893 827,536

21 393,713 394,650 788,363 21 401,877 402,432 804,309

22 382,019 384,596 766,615 22 389,797 392,198 781,995

23 370,260 374,427 744,687 23 378,079 382,115 760,194

24 358,336 364,127 722,463 24 366,305 371,924 738,229

25 346,551 353,861 700,412 25 354,591 361,732 716,323

26 335,040 343,615 678,655 26 343,023 351,576 694,599

27 323,885 333,452 657,337 27 331,520 341,319 672,839

28 313,256 323,586 636,842 28 320,375 331,149 651,524

29 303,325 314,143 617,468 29 309,756 321,278 631,034

30 294,154 305,136 599,290 30 300,190 312,049 612,239

31 285,532 296,538 582,070 31 291,377 303,257 594,634

32 276,676 287,708 564,384 32 282,754 294,654 577,408

33 267,181 278,125 545,306 33 273,895 285,821 559,716

34 256,757 267,495 524,252 34 264,397 276,237 540,634

35 245,965 256,356 502,321 35 254,237 265,790 520,027

36 235,086 245,045 480,131 36 243,707 254,837 498,544

37 224,640 234,228 458,868 37 232,825 243,531 476,356

38 215,227 224,565 439,792 38 222,370 232,718 455,088

39 207,224 216,495 423,719 39 212,941 223,053 435,994

40 200,468 209,747 410,215 40 205,130 215,108 420,238

41 194,262 203,568 397,830 41 198,555 208,476 407,031

42 187,934 197,278 385,212 42 192,304 202,275 394,579

43 181,564 190,934 372,498 43 185,929 195,962 381,891

44 174,963 184,323 359,286 44 179,509 189,593 369,102


1989 1990


45 168,364 177,647 346,011 45 172,996 183,034 356,030

46 161,971 171,175 333,146 46 166,480 176,411 342,891

47 155,881 165,072 320,953 47 160,033 169,907 329,940

48 150,114 159,330 309,444 48 153,886 163,768 317,654

49 144,720 154,011 298,731 49 148,056 157,986 306,042

50 139,703 149,085 288,788 50 142,670 152,661 295,331

51 134,838 144,310 279,148 51 137,654 147,722 285,376

52 130,068 139,654 269,722 52 132,712 142,890 275,602

53 125,598 135,330 260,928 53 127,863 138,172 266,035

54 121,450 131,369 252,819 54 123,306 133,781 257,087

55 117,545 127,664 245,209 55 119,095 129,761 248,856

56 113,799 124,131 237,930 56 115,120 125,988 241,108

57 109,996 120,531 230,527 57 111,269 122,366 233,635

58 105,967 116,652 222,619 58 107,362 118,670 226,032

59 101,596 112,357 213,953 59 103,233 114,697 217,930

60 96,986 107,756 204,742 60 98,784 110,317 209,101

61 92,348 103,090 195,438 61 94,106 105,634 199,740

62 87,779 98,483 186,262 62 89,393 100,882 190,275

63 83,206 93,846 177,052 63 84,753 96,187 180,940

64 78,649 89,205 167,854 64 80,115 91,464 171,579

65 74,124 84,569 158,693 65 75,506 86,742 162,248

66 69,613 79,913 149,526 66 70,937 82,028 152,965

67 65,142 75,261 140,403 67 66,391 77,298 143,689

68 60,769 70,675 131,444 68 61,896 72,578 134,474

69 56,520 66,181 122,701 69 57,510 67,930 125,440

70 52,386 61,768 114,154 70 53,260 63,382 116,642

71 48,340 57,414 105,754 71 49,136 58,926 108,062

72 44,371 53,103 97,474 72 45,116 54,536 99,652

73 40,494 48,853 89,347 73 41,190 50,205 91,395

74 36,714 44,670 81,384 74 37,375 45,951 83,326

75 33,045 40,572 73,617 75 33,677 41,784 75,461

76 29,503 36,577 66,080 76 30,110 37,722 67,832

77 26,104 32,702 58,806 77 26,691 33,784 60,475

78 22,859 28,966 51,825 78 23,435 29,989 53,424

79 19,778 25,382 45,160 79 20,354 26,356 46,710

80+ 84,990 116,985 201,975 80+ 88,161 121,854 210,015

Total 19,975,840 20,252,092 40,227,932 Total 20,262,524 20,581,290 40,843,814


1991 1992


0 526,232 512,957 1,039,189 0 525,197 511,942 1,037,139

1 504,619 498,407 1,003,026 1 506,269 499,923 1,006,192

2 497,033 492,109 989,142 2 498,340 493,276 991,616

3 492,340 488,254 980,594 3 493,388 489,143 982,531

4 487,860 484,451 972,311 4 489,819 486,224 976,043

5 483,558 480,675 964,233 5 486,231 483,151 969,382

6 478,692 476,383 955,075 6 482,072 479,529 961,601

7 474,397 472,634 947,031 7 477,463 475,454 952,917

8 527,490 502,059 1,029,549 8 473,340 471,849 945,189

9 540,404 508,955 1,049,359 9 526,449 501,328 1,027,777

10 535,706 505,931 1,041,637 10 539,369 508,233 1,047,602

11 527,747 500,134 1,027,881 11 534,670 505,201 1,039,871

12 518,436 493,118 1,011,554 12 526,734 499,418 1,026,152

13 508,067 485,202 993,269 13 517,436 492,408 1,009,844

14 497,558 477,137 974,695 14 507,029 484,467 991,496

15 485,978 468,271 954,249 15 495,686 475,758 971,444

16 473,531 458,799 932,330 16 483,260 466,244 949,504

17 461,072 449,378 910,450 17 470,740 456,732 927,472

18 448,708 440,011 888,719 18 458,207 447,268 905,475

19 436,476 430,597 867,073 19 445,773 437,859 883,632

20 423,517 420,601 844,118 20 432,393 427,910 860,303

21 410,097 410,074 820,171 21 418,302 417,384 835,686

22 397,296 399,582 796,878 22 404,849 406,824 811,673

23 385,192 389,320 774,512 23 392,025 396,304 788,329

24 373,459 379,213 752,672 24 379,906 386,019 765,925

25 361,947 369,160 731,107 25 368,488 376,081 744,569

26 350,502 359,109 709,611 26 357,297 366,199 723,496

27 338,941 348,943 687,884 27 345,858 356,136 701,994

28 327,449 338,678 666,127 28 334,308 345,959 680,267

29 316,316 328,501 644,817 29 322,828 335,688 658,516

30 306,152 318,900 625,052 30 312,240 325,837 638,077

31 297,034 309,940 606,974 31 302,616 316,558 619,174

32 288,220 301,143 589,363 32 293,496 307,594 601,090

33 279,592 292,534 572,126 33 284,677 298,791 583,468

34 270,725 283,698 554,423 34 276,040 290,176 566,216

35 261,552 274,337 535,889 35 267,559 281,605 549,164

36 251,715 264,115 515,830 36 258,769 272,508 531,277

37 241,177 253,164 494,341 37 248,918 262,284 511,202

38 230,285 241,862 472,147 38 238,366 251,333 489,699

39 219,818 231,050 450,868 39 227,461 240,032 467,493

40 210,643 221,548 432,191 40 217,307 229,419 446,726

41 203,073 213,756 416,829 41 208,434 220,108 428,542

42 196,453 207,103 403,556 42 200,824 212,299 413,123

43 190,152 200,877 391,029 43 194,155 205,622 399,777

44 183,725 194,538 378,263 44 187,799 199,368 387,167


1991 1992


45 177,422 188,238 365,660 45 181,521 193,115 374,636

46 171,023 181,747 352,770 46 175,362 186,899 362,261

47 164,452 175,091 339,543 47 168,903 180,372 349,275

48 157,948 168,551 326,499 48 162,272 173,680 335,952

49 151,739 162,374 314,113 49 155,707 167,102 322,809

50 145,939 156,596 302,535 50 149,548 160,940 310,488

51 140,575 151,269 291,844 51 143,790 155,172 298,962

52 135,481 146,273 281,754 52 138,350 149,789 288,139

53 130,458 141,380 271,838 53 133,175 144,731 277,906

54 125,527 136,597 262,124 54 128,071 139,771 267,842

55 120,919 132,153 253,072 55 123,099 134,941 258,040

56 116,649 128,070 244,719 56 118,444 130,443 248,887

57 112,572 124,210 236,782 57 114,076 126,274 240,350

58 108,616 120,491 229,107 58 109,897 122,319 232,216

59 104,604 116,697 221,301 59 105,835 118,499 224,334

60 100,391 112,631 213,022 60 101,736 114,609 216,345

61 95,868 108,163 204,031 61 97,442 110,449 207,891

62 91,112 103,390 194,502 62 92,832 105,883 198,715

63 86,328 98,549 184,877 63 88,003 101,016 189,019

64 81,622 93,765 175,387 64 83,153 96,085 179,238

65 76,931 88,959 165,890 65 78,393 91,215 169,608

66 72,279 84,156 156,435 66 73,659 86,325 159,984

67 67,672 79,364 147,036 67 68,967 81,442 150,409

68 63,100 74,563 137,663 68 64,333 76,574 140,907

69 58,594 69,780 128,374 69 59,748 71,707 131,455

70 54,209 65,079 119,288 70 55,245 66,870 122,115

71 49,972 60,486 110,458 71 50,877 62,123 113,000

72 45,874 55,993 101,867 72 46,668 57,493 104,161

73 41,896 51,581 93,477 73 42,613 52,976 95,589

74 38,031 47,243 85,274 74 38,694 48,555 87,249

75 34,296 43,002 77,298 75 34,908 44,228 79,136

76 30,698 38,868 69,566 76 31,272 40,017 71,289

77 27,251 34,859 62,110 77 27,793 35,933 63,726

78 23,973 30,996 54,969 78 24,484 31,998 56,482

79 20,876 27,302 48,178 79 21,362 28,233 49,595

80+ 91,335 126,921 218,256 80+ 94,460 132,125 226,585

Total 20,537,168 20,902,595 41,439,763 Total 20,797,079 21,213,348 42,010,427


1993 1994


0 524,646 511,391 1,036,037 0 524,951 511,688 1,036,639

1 505,567 499,113 1,004,680 1 505,315 498,776 1,004,091

2 500,022 494,824 994,846 2 499,411 494,106 993,517

3 494,701 490,317 985,018 3 496,425 491,909 988,334

4 490,861 487,107 977,968 4 492,207 488,315 980,522

5 488,178 484,912 973,090 5 489,242 485,819 975,061

6 484,738 482,000 966,738 6 486,701 483,780 970,481

7 480,832 478,590 959,422 7 483,511 481,075 964,586

8 476,395 474,657 951,052 8 479,774 477,805 957,579

9 472,388 471,146 943,534 9 475,451 473,967 949,418

10 525,420 500,599 1,026,019 10 471,462 470,466 941,928

11 538,302 507,478 1,045,780 11 524,395 499,870 1,024,265

12 533,621 504,456 1,038,077 12 537,268 506,749 1,044,017

13 525,696 498,678 1,024,374 13 532,593 503,730 1,036,323

14 516,357 491,643 1,008,000 14 524,624 497,925 1,022,549

15 504,985 482,957 987,942 15 514,360 490,176 1,004,536

16 492,665 473,496 966,161 16 502,051 480,772 982,823

17 480,165 463,940 944,105 17 489,655 471,271 960,926

18 467,569 454,387 921,956 18 477,079 461,672 938,751

19 454,965 444,881 899,846 19 464,410 452,077 916,487

20 441,200 434,855 876,055 20 450,533 441,980 892,513

21 426,509 424,291 850,800 21 435,515 431,366 866,881

22 412,385 413,733 826,118 22 420,791 420,770 841,561

23 398,910 403,145 802,055 23 406,647 410,183 816,830

24 386,074 392,602 778,676 24 393,161 399,572 792,733

25 374,324 382,517 756,841 25 380,678 389,218 769,896

26 363,279 372,780 736,059 26 369,285 379,324 748,609

27 352,092 362,886 714,978 27 358,243 369,574 727,817

28 340,663 352,811 693,474 28 347,065 359,666 706,731

29 329,124 342,628 671,752 29 335,645 349,585 685,230

30 318,280 332,735 651,015 30 324,713 339,761 664,474

31 308,321 323,262 631,583 31 314,469 330,227 644,696

32 298,697 313,978 612,675 32 304,511 320,749 625,260

33 289,573 305,007 594,580 33 294,883 311,459 606,342

34 280,744 296,198 576,942 34 285,750 302,481 588,231

35 272,558 287,890 560,448 35 277,351 293,964 571,315

36 264,521 279,624 544,145 36 269,584 285,946 555,530

37 255,709 270,520 526,229 37 261,520 277,668 539,188

38 245,838 260,292 506,130 38 252,681 268,554 521,235

39 235,268 249,339 484,607 39 242,785 258,319 501,104

40 224,731 238,270 463,001 40 232,560 247,584 480,144

41 214,937 227,884 442,821 41 222,365 236,731 459,096

42 206,031 218,561 424,592 42 212,541 226,334 438,875

43 198,377 210,731 409,108 43 203,596 216,998 420,594

44 191,653 204,027 395,680 44 195,894 209,144 405,038


1993 1994


45 185,478 197,877 383,355 45 189,341 202,538 391,879

46 179,374 191,726 371,100 46 183,325 196,482 379,807

47 173,150 185,470 358,620 47 177,153 190,289 367,442

48 166,627 178,905 345,532 48 170,859 183,990 354,849

49 159,933 172,172 332,105 49 164,268 177,381 341,649

50 153,437 165,620 319,057 50 157,636 170,668 328,304

51 147,341 159,477 306,818 51 151,197 164,134 315,331

52 141,509 153,655 295,164 52 145,028 157,936 302,964

53 135,990 148,211 284,201 53 139,119 152,055 291,174

54 130,732 143,085 273,817 54 133,519 146,545 280,064

55 125,594 138,083 263,677 55 128,225 141,373 269,598

56 120,586 133,204 253,790 56 123,048 136,319 259,367

57 115,839 128,622 244,461 57 117,951 131,360 249,311

58 111,373 124,361 235,734 58 113,111 126,688 239,799

59 107,091 120,307 227,398 59 108,545 122,331 230,876

60 102,944 116,391 219,335 60 104,181 118,181 222,362

61 98,761 112,401 211,162 61 99,948 114,164 214,112

62 94,370 108,134 202,504 62 95,662 110,061 205,723

63 89,678 103,465 193,143 63 91,178 105,681 196,859

64 84,780 98,504 183,284 64 86,408 100,909 187,317

65 79,878 93,487 173,365 65 81,454 95,857 177,311

66 75,073 88,530 163,603 66 76,508 90,751 167,259

67 70,298 83,556 153,854 67 71,660 85,707 157,367

68 65,577 78,595 144,172 68 66,855 80,652 147,507

69 60,928 73,658 134,586 69 62,119 75,617 137,736

70 56,346 68,732 125,078 70 57,471 70,617 128,088

71 51,861 63,849 115,710 71 52,906 65,643 118,549

72 47,525 59,065 106,590 72 48,455 60,721 109,176

73 43,361 54,411 97,772 73 44,167 55,914 100,081

74 39,366 49,884 89,250 74 40,067 51,249 91,316

75 35,527 45,470 80,997 75 36,153 46,728 82,881

76 31,840 41,171 73,011 76 32,412 42,342 74,754

77 28,321 37,008 65,329 77 28,843 38,088 66,931

78 24,978 32,996 57,974 78 25,460 33,995 59,455

79 21,825 29,156 50,981 79 22,271 30,077 52,348

80+ 97,511 137,426 234,937 80+ 100,488 142,808 243,296

Total 21,042,673 21,513,802 42,556,475 Total 21,290,642 21,814,956 43,105,598


1995 1996


0 524,903 511,632 1,036,535 0 524,469 511,213 1,035,682

1 505,870 499,241 1,005,111 1 506,044 499,351 1,005,395

2 499,241 493,844 993,085 2 499,856 494,375 994,231

3 495,868 491,242 987,110 3 495,743 491,027 986,770

4 493,960 489,938 983,898 4 493,438 489,307 982,745

5 490,607 487,049 977,656 5 492,376 488,691 981,067

6 487,783 484,704 972,487 6 489,163 485,950 975,113

7 485,487 482,869 968,356 7 486,583 483,808 970,391

8 482,463 480,302 962,765 8 484,450 482,107 966,557

9 478,839 477,124 955,963 9 481,537 479,631 961,168

10 474,537 473,299 947,836 10 477,935 476,467 954,402

11 470,535 469,786 940,321 11 473,624 472,631 946,255

12 523,400 499,166 1,022,566 12 469,637 469,128 938,765

13 536,254 506,037 1,042,291 13 522,425 498,478 1,020,903

14 531,530 502,989 1,034,519 14 535,204 505,312 1,040,516

15 522,675 496,503 1,019,178 15 529,631 501,611 1,031,242

16 511,514 488,067 999,581 16 519,918 494,469 1,014,387

17 499,128 478,621 977,749 17 508,675 485,992 994,667

18 486,653 469,078 955,731 18 496,209 476,503 972,712

19 474,002 459,438 933,440 19 483,658 466,917 950,575

20 460,119 449,276 909,395 20 469,849 456,738 926,587

21 445,045 438,619 883,664 21 454,825 446,044 900,869

22 429,995 427,972 857,967 22 439,718 435,353 875,071

23 415,251 417,348 832,599 23 424,647 424,677 849,324

24 401,097 406,736 807,833 24 409,895 414,027 823,922

25 387,949 396,304 784,253 25 396,063 403,584 799,647

26 375,807 386,132 761,939 26 383,240 393,323 776,563

27 364,418 376,223 740,641 27 371,105 383,135 754,240

28 353,383 366,460 719,843 28 359,723 373,214 732,937

29 342,213 356,543 698,756 29 348,696 363,439 712,135

30 331,370 346,802 678,172 30 338,071 353,846 691,917

31 321,008 337,319 658,327 31 327,769 344,426 672,195

32 310,765 327,780 638,545 32 317,408 334,936 652,344

33 300,804 318,295 619,099 33 307,162 325,389 632,551

34 291,168 308,999 600,167 34 297,193 315,897 613,090

35 282,443 300,298 582,741 35 287,945 306,864 594,809

36 274,442 292,055 566,497 36 279,597 298,423 578,020

37 266,646 284,023 550,669 37 271,566 290,166 561,732

38 258,549 275,730 534,279 38 263,734 282,117 545,851

39 249,677 266,603 516,280 39 255,598 273,807 529,405

40 240,102 256,570 496,672 40 247,020 264,865 511,885

41 230,195 246,037 476,232 41 237,738 255,018 492,756

42 219,969 235,174 455,143 42 227,795 244,471 472,266

43 210,110 224,767 434,877 43 217,534 233,596 451,130

44 201,124 215,411 416,535 44 207,637 223,172 430,809


1995 1996


45 193,586 207,654 401,240 45 198,811 213,913 412,724

46 187,183 201,136 388,319 46 191,418 206,242 397,660

47 181,095 195,035 376,130 47 184,943 199,681 384,624

48 174,850 188,797 363,647 48 178,779 193,532 372,311

49 168,482 182,450 350,932 49 172,457 187,242 359,699

50 161,942 175,854 337,796 50 166,127 180,901 347,028

51 155,358 169,154 324,512 51 159,623 174,311 333,934

52 148,846 162,566 311,412 52 152,964 167,555 320,519

53 142,601 156,309 298,910 53 146,378 160,907 307,285

54 136,614 150,363 286,977 54 140,055 154,587 294,642

55 130,978 144,806 275,784 55 134,032 148,594 282,626

56 125,641 139,582 265,223 56 128,353 142,985 271,338

57 120,375 134,446 254,821 57 122,926 137,677 260,603

58 115,189 129,400 244,589 58 117,570 132,454 250,024

59 110,255 124,635 234,890 59 112,295 127,316 239,611

60 105,610 120,184 225,794 60 107,287 122,460 229,747

61 101,162 115,934 217,096 61 102,562 117,911 220,473

62 96,825 111,800 208,625 62 98,013 113,547 211,560

63 92,440 107,578 200,018 63 93,576 109,291 202,867

64 87,867 103,084 190,951 64 89,095 104,948 194,043

65 83,032 98,211 181,243 65 84,445 100,341 184,786

66 78,030 93,066 171,096 66 79,552 95,365 174,917

67 73,042 87,871 160,913 67 74,506 90,126 164,632

68 68,163 82,742 150,905 68 69,488 84,845 154,333

69 63,342 77,610 140,952 69 64,591 79,634 144,225

70 58,606 72,509 131,115 70 59,768 74,435 134,203

71 53,973 67,457 121,430 71 55,048 69,277 124,325

72 49,441 62,441 111,882 72 50,447 64,179 114,626

73 45,041 57,495 102,536 73 45,966 59,135 105,101

74 40,821 52,678 93,499 74 41,636 54,180 95,816

75 36,805 48,020 84,825 75 37,505 49,370 86,875

76 32,991 43,525 76,516 76 33,593 44,739 78,332

77 29,368 39,183 68,551 77 29,899 40,289 70,188

78 25,935 34,999 60,934 78 26,413 36,015 62,428

79 22,706 30,999 53,705 79 23,135 31,923 55,058

80+ 103,389 148,253 251,642 80+ 106,213 153,753 259,966

Total 21,540,482 22,116,231 43,656,713 Total 21,791,572 22,417,155 44,208,727


1997 1998


0 523,622 510,383 1,034,005 0 523,948 510,695 1,034,643

1 505,827 499,081 1,004,908 1 505,200 498,404 1,003,604

2 500,091 494,543 994,634 2 499,937 494,333 994,270

3 496,394 491,595 987,989 3 496,667 491,800 988,467

4 493,344 489,123 982,467 4 494,023 489,717 983,740

5 491,877 488,080 979,957 5 491,803 487,917 979,720

6 490,945 487,605 978,550 6 490,464 487,012 977,476

7 487,975 485,066 973,041 7 489,768 486,732 976,500

8 485,556 483,059 968,615 8 486,959 484,328 971,287

9 483,533 481,446 964,979 9 484,650 482,407 967,057

10 480,643 478,985 959,628 10 482,650 480,812 963,462

11 477,033 475,813 952,846 11 479,755 478,342 958,097

12 472,738 471,986 944,724 12 476,160 475,179 951,339

13 468,757 468,485 937,242 13 471,870 471,356 943,226

14 521,414 497,777 1,019,191 14 467,846 467,830 935,676

15 533,360 503,980 1,037,340 15 519,653 496,504 1,016,157

16 526,963 499,656 1,026,619 16 530,788 502,105 1,032,893

17 517,165 492,470 1,009,635 17 524,299 497,733 1,022,032

18 505,838 483,948 989,786 18 514,413 490,500 1,004,913

19 493,294 474,416 967,710 19 503,004 481,934 984,938

20 479,642 464,317 943,959 20 489,415 471,916 961,331

21 464,749 453,631 918,380 21 474,736 461,336 936,072

22 449,691 442,902 892,593 22 459,807 450,615 910,422

23 434,562 432,182 866,744 23 444,725 439,857 884,582

24 419,483 421,480 840,963 24 429,587 429,110 858,697

25 405,036 410,988 816,024 25 414,796 418,555 833,351

26 391,514 400,705 792,219 26 400,643 408,212 808,855

27 378,699 390,429 769,128 27 387,131 397,913 785,044

28 366,573 380,229 746,802 28 374,327 387,623 761,950

29 355,200 370,296 725,496 29 362,211 377,412 739,623

30 344,687 360,825 705,512 30 351,325 367,764 719,089

31 334,573 351,534 686,107 31 341,293 358,577 699,870

32 324,271 342,106 666,377 32 331,177 349,276 680,453

33 313,906 332,608 646,514 33 320,869 339,840 660,709

34 303,653 323,052 626,705 34 310,496 330,332 640,828

35 294,050 313,809 607,859 35 300,587 321,011 621,598

36 285,159 305,020 590,179 36 291,321 311,995 603,316

37 276,781 296,565 573,346 37 282,401 303,193 585,594

38 268,714 288,291 557,005 38 273,987 294,721 568,708

39 260,839 280,223 541,062 39 265,877 286,428 552,305

40 252,973 272,083 525,056 40 258,251 278,516 536,767

41 244,662 263,309 507,971 41 250,628 270,528 521,156

42 235,336 253,444 488,780 42 242,263 261,730 503,993

43 225,352 242,880 468,232 43 232,888 251,842 484,730

44 215,051 231,989 447,040 44 222,858 241,257 464,115


1997 1998


45 205,307 221,657 426,964 45 212,698 230,451 443,149

46 196,623 212,483 409,106 46 203,088 220,202 423,290

47 189,165 204,774 393,939 47 194,348 210,996 405,344

48 182,615 198,165 380,780 48 186,821 203,243 390,064

49 176,370 191,961 368,331 49 180,191 196,581 376,772

50 170,074 185,673 355,747 50 173,962 190,372 364,334

51 163,769 179,328 343,097 51 167,681 184,074 351,755

52 157,185 172,678 329,863 52 161,288 177,665 338,953

53 150,448 165,862 316,310 53 154,621 170,948 325,569

54 143,785 159,149 302,934 54 147,805 164,065 311,870

55 137,425 152,781 290,206 55 141,103 157,305 298,408

56 131,360 146,736 278,096 56 134,699 150,884 285,583

57 125,593 141,046 266,639 57 128,550 144,758 273,308

58 120,076 135,648 255,724 58 122,695 138,980 261,675

59 114,631 130,332 244,963 59 117,088 133,488 250,576

60 109,284 125,106 234,390 60 111,570 128,083 239,653

61 104,201 120,156 224,357 61 106,153 122,763 228,916

62 99,381 115,493 214,874 62 100,981 117,704 218,685

63 94,735 111,010 205,745 63 96,068 112,926 208,994

64 90,200 106,632 196,832 64 91,329 108,321 199,650

65 85,636 102,167 187,803 65 86,710 103,818 190,528

66 80,916 97,446 178,362 66 82,068 99,232 181,300

67 75,969 92,365 168,334 67 77,283 94,392 171,675

68 70,891 87,033 157,924 68 72,293 89,208 161,501

69 65,856 81,670 147,526 69 67,195 83,790 150,985

70 60,956 76,388 137,344 70 62,159 78,353 140,512

71 56,148 71,128 127,276 71 57,273 73,007 130,280

72 51,459 65,923 117,382 72 52,497 67,696 120,193

73 46,908 60,794 107,702 73 47,858 62,457 110,315

74 42,499 55,736 98,235 74 43,378 57,310 100,688

75 38,260 50,789 89,049 75 39,060 52,259 91,319

76 34,237 46,008 80,245 76 34,934 47,339 82,273

77 30,450 41,422 71,872 77 31,040 42,607 73,647

78 26,895 37,041 63,936 78 27,396 38,093 65,489

79 23,566 32,858 56,424 79 24,001 33,803 57,804

80+ 108,967 159,298 268,265 80+ 111,667 164,896 276,563

Total 22,043,365 22,717,130 44,760,495 Total 22,297,007 23,017,268 45,314,275


1999 2000


0 523,217 509,978 1,033,195 0 522,961 509,723 1,032,684

1 505,616 498,765 1,004,381 1 505,011 498,120 1,003,131

2 499,309 493,654 992,963 2 499,713 494,004 993,717

3 496,488 491,566 988,054 3 495,838 490,866 986,704

4 494,261 489,889 984,150 4 494,048 489,624 983,672

5 492,451 488,483 980,934 5 492,660 488,627 981,287

6 490,373 486,833 977,206 6 491,003 487,381 978,384

7 489,268 486,123 975,391 7 489,159 485,925 975,084

8 488,729 485,972 974,701 8 488,210 485,343 973,553

9 486,030 483,654 969,684 9 487,775 485,277 973,052

10 483,732 481,741 965,473 10 485,076 482,956 968,032

11 481,713 480,126 961,839 11 482,747 481,012 963,759

12 478,831 477,665 956,496 12 480,740 479,405 960,145

13 475,240 474,504 949,744 13 477,861 476,946 954,807

14 470,908 470,657 941,565 14 474,227 473,761 947,988

15 465,943 466,404 932,347 15 468,770 469,041 937,811

16 516,693 494,306 1,010,999 16 462,666 463,912 926,578

17 527,703 499,850 1,027,553 17 513,223 491,731 1,004,954

18 521,118 495,427 1,016,545 18 524,101 497,212 1,021,313

19 511,145 488,148 999,293 19 517,422 492,738 1,010,160

20 498,430 478,976 977,406 20 505,880 484,735 990,615

21 483,557 468,359 951,916 21 491,621 474,844 966,465

22 468,839 457,743 926,582 22 476,708 464,192 940,900

23 453,885 446,992 900,877 23 461,964 453,545 915,509

24 438,792 436,207 874,999 24 446,997 442,767 889,764

25 424,017 425,651 849,668 25 432,343 432,216 864,559

26 409,596 415,289 824,885 26 418,012 421,897 839,909

27 395,454 404,930 800,384 27 403,602 411,519 815,121

28 381,954 394,617 776,571 28 389,474 401,145 790,619

29 369,163 384,315 753,478 29 375,989 390,819 766,808

30 357,663 374,467 732,130 30 363,941 380,959 744,900

31 347,384 365,181 712,565 31 353,177 371,549 724,726

32 337,348 355,984 693,332 32 342,894 362,252 705,146

33 327,225 346,673 673,898 33 332,851 353,043 685,894

34 316,908 337,226 654,134 34 322,716 343,721 666,437

35 306,974 328,013 634,987 35 312,930 334,632 647,562

36 297,494 318,984 616,478 36 303,518 325,774 629,292

37 288,199 309,955 598,154 37 294,010 316,730 610,740

38 279,245 301,135 580,380 38 284,680 307,684 592,364

39 270,789 292,643 563,432 39 275,685 298,844 574,529

40 263,006 284,552 547,558 40 267,634 290,602 558,236

41 255,696 276,839 532,535 41 260,245 282,755 543,000

42 248,012 268,821 516,833 42 252,871 275,009 527,880

43 239,588 259,993 499,581 43 245,121 266,956 512,077

44 230,159 250,079 480,238 44 236,632 258,094 494,726


1999 2000


45 220,312 239,603 459,915 45 227,425 248,311 475,736

46 210,333 228,907 439,240 46 217,800 237,967 455,767

47 200,671 218,628 419,299 47 207,767 227,240 435,007

48 191,870 209,386 401,256 48 198,049 216,929 414,978

49 184,270 201,586 385,856 49 189,185 207,645 396,830

50 177,685 194,932 372,617 50 181,664 199,873 381,537

51 171,493 188,724 360,217 51 175,143 193,236 368,379

52 165,120 182,358 347,478 52 168,854 186,957 355,811

53 158,637 175,877 334,514 53 162,387 180,515 342,902

54 151,884 169,090 320,974 54 155,810 173,957 329,767

55 145,037 162,161 307,198 55 149,030 167,126 316,156

56 138,303 155,354 293,657 56 142,158 160,153 302,311

57 131,816 148,853 280,669 57 135,342 153,265 288,607

58 125,582 142,641 268,223 58 128,773 146,678 275,451

59 119,641 136,769 256,410 59 122,454 140,376 262,830

60 113,964 131,189 245,153 60 116,452 134,419 250,871

61 108,380 125,690 234,070 61 110,712 128,747 239,459

62 102,878 120,266 223,144 62 105,043 123,141 228,184

63 97,621 115,095 212,716 63 99,461 117,608 217,069

64 92,621 110,198 202,819 64 94,124 112,323 206,447

65 87,802 105,472 193,274 65 89,051 107,309 196,360

66 83,105 100,845 183,950 66 84,161 102,461 186,622

67 78,391 96,132 174,523 67 79,390 97,706 177,096

68 73,551 91,176 164,727 68 74,614 92,868 167,482

69 68,532 85,894 154,426 69 69,732 87,800 157,532

70 63,431 80,398 143,829 70 64,701 82,428 147,129

71 58,411 74,897 133,308 71 59,614 76,863 136,477

72 53,555 69,496 123,051 72 54,628 71,305 125,933

73 48,830 64,148 112,978 73 49,822 65,864 115,686

74 44,262 58,890 103,152 74 45,168 60,495 105,663

75 39,874 53,746 93,620 75 40,694 55,237 95,931

76 35,670 48,720 84,390 76 36,419 50,117 86,536

77 31,676 43,851 75,527 77 32,349 45,140 77,489

78 27,932 39,191 67,123 78 28,510 40,344 68,854

79 24,452 34,772 59,224 79 24,935 35,784 60,719

80+ 114,311 170,539 284,850 80+ 116,922 176,247 293,169

Total 22,530,048 23,302,843 45,832,891 Total 22,743,049 23,574,321 46,317,370


2001 2002


0 521,753 508,539 1,030,292 0 519,539 506,376 1,025,915

1 504,864 497,927 1,002,791 1 503,796 496,826 1,000,622

2 499,106 493,358 992,464 2 498,953 493,157 992,110

3 496,213 491,189 987,402 3 495,584 490,521 986,105

4 493,367 488,893 982,260 4 493,706 489,183 982,889

5 492,419 488,336 980,755 5 491,712 487,579 979,291

6 491,194 487,508 978,702 6 490,937 487,200 978,137

7 489,769 486,453 976,222 7 489,940 486,563 976,503

8 488,081 485,126 973,207 8 488,669 485,635 974,304

9 487,237 484,628 971,865 9 487,087 484,390 971,477

10 486,785 484,545 971,330 10 486,213 483,867 970,080

11 484,042 482,185 966,227 11 485,702 483,732 969,434

12 481,725 480,251 961,976 12 482,972 481,381 964,353

13 479,720 478,645 958,365 13 480,658 479,447 960,105

14 476,798 476,159 952,957 14 478,608 477,814 956,422

15 471,852 471,957 943,809 15 474,188 474,167 948,355

16 465,072 466,217 931,289 16 467,735 468,797 936,532

17 458,890 461,046 919,936 17 460,878 463,017 923,895

18 509,240 488,776 998,016 18 454,613 457,804 912,417

19 519,985 494,192 1,014,177 19 504,747 485,440 990,187

20 511,472 488,872 1,000,344 20 513,360 489,878 1,003,238

21 498,125 480,032 978,157 21 502,776 483,600 986,376

22 483,823 470,104 953,927 22 489,384 474,720 964,104

23 468,884 459,419 928,303 23 475,053 464,759 939,812

24 454,126 448,744 902,870 24 460,099 454,047 914,146

25 439,672 438,245 877,917 25 445,928 443,695 889,623

26 425,536 427,976 853,512 26 432,067 433,520 865,587

27 411,215 417,640 828,855 27 417,940 423,233 841,173

28 396,820 407,246 804,066 28 403,633 412,881 816,514

29 382,707 396,860 779,567 29 389,253 402,474 791,727

30 370,095 387,052 757,147 30 376,142 392,683 768,825

31 358,910 377,707 736,617 31 364,520 383,468 747,988

32 348,143 368,287 716,430 32 353,334 374,110 727,444

33 337,853 358,978 696,831 33 342,560 364,678 707,238

34 327,797 349,756 677,553 34 332,257 355,357 687,614

35 318,286 340,854 659,140 35 322,918 346,618 669,536

36 309,114 332,183 641,297 36 314,113 338,196 652,309

37 299,671 323,309 622,980 37 304,908 329,506 634,414

38 290,128 314,246 604,374 38 295,429 320,611 616,040

39 280,759 305,179 585,938 39 285,845 311,527 597,372

40 272,248 296,637 568,885 40 277,038 302,805 579,843

41 264,669 288,684 553,353 41 269,079 294,599 563,678

42 257,214 280,804 538,018 42 261,433 286,613 548,046

43 249,769 273,020 522,789 43 253,905 278,695 532,600

44 241,946 264,928 506,874 44 246,383 270,869 517,252


2001 2002


45 233,717 256,218 489,935 45 238,860 262,950 501,810

46 224,770 246,587 471,357 46 230,927 254,412 485,339

47 215,082 236,208 451,290 47 221,908 244,737 466,645

48 204,992 225,447 430,439 48 212,154 234,317 446,471

49 195,215 215,098 410,313 49 202,003 223,518 425,521

50 186,468 205,863 392,331 50 192,375 213,235 405,610

51 179,045 198,128 377,173 51 183,763 204,059 387,822

52 172,428 191,420 363,848 52 176,253 196,258 372,511

53 166,040 185,060 351,100 53 169,536 189,472 359,008

54 159,475 178,537 338,012 54 163,044 183,028 346,072

55 152,873 171,935 324,808 55 156,460 176,462 332,922

56 146,071 165,060 311,131 56 149,838 169,814 319,652

57 139,114 158,004 297,118 57 142,944 162,849 305,793

58 132,216 151,032 283,248 58 135,902 155,705 291,607

59 125,565 144,354 269,919 59 128,924 148,642 277,566

60 119,194 137,969 257,163 60 122,225 141,886 264,111

61 113,135 131,925 245,060 61 115,806 135,418 251,224

62 107,310 126,144 233,454 62 109,665 129,267 238,932

63 101,561 120,429 221,990 63 103,759 123,374 227,133

64 95,905 114,784 210,689 64 97,936 117,546 215,482

65 90,504 109,387 199,891 65 92,225 111,793 204,018

66 85,367 104,256 189,623 66 86,768 106,286 193,054

67 80,407 99,282 179,689 67 81,568 101,031 182,599

68 75,573 94,399 169,972 68 76,550 95,932 172,482

69 70,748 89,440 160,188 69 71,666 90,925 162,591

70 65,843 84,268 150,111 70 66,810 85,853 152,663

71 60,816 78,815 139,631 71 61,898 80,586 142,484

72 55,760 73,189 128,949 72 56,893 75,059 131,952

73 50,827 67,590 118,417 73 51,888 69,388 121,276

74 46,093 62,124 108,217 74 47,029 63,764 110,793

75 41,533 56,754 98,287 75 42,390 58,293 100,683

76 37,174 51,518 88,692 76 37,946 52,944 90,890

77 33,034 46,444 79,478 77 33,724 47,754 81,478

78 29,120 41,541 70,661 78 29,742 42,750 72,492

79 25,455 36,846 62,301 79 26,005 37,947 63,952

80+ 119,534 182,051 301,585 80+ 122,182 187,985 310,167

Total 22,935,058 23,830,798 46,765,856 Total 23,105,160 24,071,277 47,176,437


2003 2004


0 516,123 503,037 1,019,160 0 512,923 499,919 1,012,842

1 501,787 494,787 996,574 1 498,649 491,639 990,288

2 497,897 492,067 989,964 2 495,946 490,080 986,026

3 495,411 490,301 985,712 3 494,375 489,231 983,606

4 493,049 488,487 981,536 4 492,880 488,273 981,153

5 492,023 487,843 979,866 5 491,368 487,149 978,517

6 490,216 486,430 976,646 6 490,530 486,697 977,227

7 489,667 486,237 975,904 7 488,948 485,470 974,418

8 488,822 485,724 974,546 8 488,548 485,400 973,948

9 487,654 484,879 972,533 9 487,805 484,967 972,772

10 486,031 483,598 969,629 10 486,592 484,081 970,673

11 485,086 483,013 968,099 11 484,894 482,737 967,631

12 484,585 482,885 967,470 12 483,959 482,159 966,118

13 481,858 480,536 962,394 13 483,458 482,030 965,488

14 479,499 478,576 958,075 14 480,687 479,656 960,343

15 475,766 475,635 951,401 15 476,589 476,344 952,933

16 469,653 470,676 940,329 16 471,105 472,046 943,151

17 463,122 465,266 928,388 17 464,913 467,046 931,959

18 456,184 459,443 915,627 18 458,301 461,593 919,894

19 449,839 454,186 904,025 19 451,285 455,728 907,013

20 497,494 480,696 978,190 20 442,527 449,361 891,888

21 503,736 484,044 987,780 21 487,636 474,712 962,348

22 493,098 477,723 970,821 22 493,778 478,001 971,779

23 479,674 468,807 948,481 23 483,100 471,640 954,740

24 465,326 458,816 924,142 24 469,656 462,692 932,348

25 451,036 448,470 899,506 25 455,993 453,080 909,073

26 437,531 438,489 876,020 26 442,392 443,118 885,510

27 423,678 428,294 851,972 27 428,894 433,115 862,009

28 409,563 417,991 827,554 28 415,051 422,905 837,956

29 395,271 407,625 802,896 29 400,950 412,587 813,537

30 382,019 397,891 779,910 30 387,824 402,916 790,740

31 370,026 388,769 758,795 31 375,728 393,876 769,604

32 358,403 379,542 737,945 32 363,735 384,741 748,476

33 347,211 370,172 717,383 33 352,108 375,498 727,606

34 336,426 360,726 697,152 34 340,905 366,115 707,020

35 326,935 351,951 678,886 35 330,962 357,235 688,197

36 318,394 343,755 662,149 36 322,298 349,021 671,319

37 309,553 335,312 644,865 37 313,718 340,803 654,521

38 300,309 326,600 626,909 38 304,835 332,337 637,172

39 290,786 317,683 608,469 39 295,545 323,600 619,145

40 281,844 308,988 590,832 40 286,686 315,086 601,772

41 273,666 300,650 574,316 41 278,395 306,788 585,183

42 265,640 292,410 558,050 42 270,151 298,414 568,565

43 257,921 284,385 542,306 43 262,053 290,134 552,187

44 250,316 276,422 526,738 44 254,255 282,065 536,320


2003 2004


45 243,137 268,795 511,932 45 247,007 274,308 521,315

46 235,950 261,069 497,019 46 240,174 266,878 507,052

47 227,931 252,478 480,409 47 232,890 259,094 491,984

48 218,833 242,756 461,589 48 224,779 250,446 475,225

49 209,010 232,290 441,300 49 215,600 240,669 456,269

50 199,032 221,572 420,604 50 205,949 230,282 436,231

51 189,571 211,365 400,936 51 196,145 219,641 415,786

52 180,882 202,131 383,013 52 186,612 209,380 395,992

53 173,282 194,257 367,539 53 177,844 200,082 377,926

54 166,463 187,387 353,850 54 170,150 192,131 362,281

55 159,956 180,901 340,857 55 163,320 185,222 348,542

56 153,357 174,291 327,648 56 156,796 178,689 335,485

57 146,634 167,546 314,180 57 150,089 171,978 322,067

58 139,647 160,487 300,134 58 143,264 165,131 308,395

59 132,521 153,250 285,771 59 136,186 157,970 294,156

60 125,501 146,110 271,611 60 129,016 150,654 279,670

61 118,761 139,273 258,034 61 121,958 143,433 265,391

62 112,264 132,700 244,964 62 115,143 136,492 251,635

63 106,047 126,439 232,486 63 108,573 129,813 238,386

64 100,066 120,432 220,498 64 102,285 123,440 225,725

65 94,188 114,496 208,684 65 96,249 117,324 213,573

66 88,429 108,637 197,066 66 90,325 111,279 201,604

67 82,918 103,012 185,930 67 84,518 105,307 189,825

68 77,666 97,636 175,302 68 78,963 99,567 178,530

69 72,603 92,416 165,019 69 73,673 94,074 167,747

70 67,688 87,293 154,981 70 68,584 88,741 157,325

71 62,818 82,116 144,934 71 63,654 83,511 147,165

72 57,914 76,762 134,676 72 58,786 78,236 137,022

73 52,952 71,175 124,127 73 53,913 72,806 126,719

74 48,020 65,474 113,494 74 49,014 67,177 116,191

75 43,259 59,847 103,106 75 44,180 61,467 105,647

76 38,737 54,394 93,131 76 39,540 55,859 95,399

77 34,432 49,088 83,520 77 35,158 50,447 85,605

78 30,370 43,968 74,338 78 31,014 45,212 76,226

79 26,566 39,064 65,630 79 27,133 40,191 67,324

80+ 124,890 194,081 318,971 80+ 127,669 200,341 328,010

Total 23,252,423 24,294,805 47,547,228 Total 23,389,083 24,509,357 47,898,440


2005 2006


0 510,448 497,493 1,007,941 0 505,644 492,794 998,438

1 495,764 488,727 984,491 1 493,594 486,497 980,091

2 492,889 487,004 979,893 2 490,087 484,163 974,250

3 492,457 487,273 979,730 3 489,441 484,233 973,674

4 491,858 487,214 979,072 4 489,958 485,272 975,230

5 491,203 486,938 978,141 5 490,188 485,884 976,072

6 489,883 486,009 975,892 6 489,725 485,806 975,531

7 489,265 485,739 975,004 7 488,624 485,055 973,679

8 487,833 484,633 972,466 8 488,151 484,903 973,054

9 487,533 484,641 972,174 9 486,819 483,877 970,696

10 486,738 484,165 970,903 10 486,462 483,836 970,298

11 485,446 483,211 968,657 11 485,584 483,288 968,872

12 483,759 481,874 965,633 12 484,302 482,340 966,642

13 482,825 481,296 964,121 13 482,616 481,005 963,621

14 482,277 481,141 963,418 14 481,637 480,400 962,037

15 477,711 477,370 955,081 15 479,233 478,803 958,036

16 471,806 472,657 944,463 16 472,805 473,587 946,392

17 466,242 468,319 934,561 17 466,822 468,835 935,657

18 459,969 463,276 923,245 18 461,176 464,453 925,629

19 453,278 457,781 911,059 19 454,823 459,368 914,191

20 443,771 450,771 894,542 20 445,562 452,692 898,254

21 432,544 443,263 875,807 21 433,508 444,508 878,016

22 477,450 468,522 945,972 22 422,242 436,964 859,206

23 483,504 471,755 955,259 23 466,953 462,130 929,083

24 472,798 465,357 938,155 24 472,929 465,309 938,238

25 460,058 456,800 916,858 25 462,942 459,311 922,253

26 447,106 447,583 894,689 26 450,933 451,161 902,094

27 433,512 437,599 871,111 27 437,985 441,921 879,906

28 420,022 427,580 847,602 28 424,399 431,921 856,320

29 406,192 417,354 823,546 29 410,920 421,885 832,805

30 393,294 407,756 801,050 30 398,330 412,402 810,732

31 381,362 398,802 780,164 31 386,664 403,544 790,208

32 369,266 389,747 759,013 32 374,730 394,575 769,305

33 357,269 380,597 737,866 33 362,630 385,504 748,134

34 345,632 371,340 716,972 34 350,623 376,338 726,961

35 335,301 362,541 697,842 35 339,888 367,685 707,573

36 326,216 354,241 680,457 36 330,445 359,484 689,929

37 317,513 346,004 663,517 37 321,322 351,161 672,483

38 308,888 337,762 646,650 38 312,573 342,899 655,472

39 299,956 329,268 629,224 39 303,898 334,627 638,525

40 291,351 320,947 612,298 40 295,671 326,562 622,233

41 283,165 312,842 596,007 41 287,760 318,663 606,423

42 274,806 304,508 579,314 42 279,504 310,519 590,023

43 266,489 296,094 562,583 43 271,071 302,143 573,214

44 258,314 287,769 546,083 44 262,676 293,683 556,359


2005 2006


45 250,888 279,912 530,800 45 254,888 285,579 540,467

46 243,998 272,362 516,360 46 247,834 277,936 525,770

47 237,063 264,869 501,932 47 240,841 270,321 511,162

48 229,677 257,019 486,696 48 233,798 262,759 496,557

49 221,469 248,307 469,776 49 226,304 254,838 481,142

50 212,458 238,604 451,062 50 218,257 246,192 464,449

51 202,978 228,292 431,270 51 209,412 236,558 445,970

52 193,100 217,594 410,694 52 199,846 226,183 426,029

53 183,493 207,274 390,767 53 189,893 215,423 405,316

54 174,644 197,908 372,552 54 180,211 205,038 385,249

55 166,952 189,927 356,879 55 171,380 195,653 367,033

56 160,110 182,972 343,082 56 163,688 187,637 351,325

57 153,472 176,332 329,804 57 156,733 180,577 337,310

58 146,657 169,513 316,170 58 149,980 173,824 323,804

59 139,730 162,558 302,288 59 143,058 166,891 309,949

60 132,602 155,312 287,914 60 136,072 159,841 295,913

61 125,391 147,912 273,303 61 128,895 152,505 281,400

62 118,259 140,589 258,848 62 121,607 144,999 266,606

63 111,374 133,541 244,915 63 114,407 137,569 251,976

64 104,739 126,751 231,490 64 107,459 130,413 237,872

65 98,400 120,272 218,672 65 100,779 123,520 224,299

66 92,318 114,046 206,364 66 94,399 116,934 211,333

67 86,346 107,887 194,233 67 88,269 110,591 198,860

68 80,503 101,804 182,307 68 82,261 104,321 186,582

69 74,919 95,954 170,873 69 76,397 98,131 174,528

70 69,610 90,353 159,963 70 70,804 92,180 162,984

71 64,511 84,916 149,427 71 65,492 86,480 151,972

72 59,583 79,584 139,167 72 60,400 80,945 141,345

73 54,737 74,225 128,962 73 55,493 75,525 131,018

74 49,916 68,736 118,652 74 50,693 70,097 120,790

75 45,106 63,086 108,192 75 45,949 64,571 110,520

76 40,393 57,390 97,783 76 41,251 58,922 100,173

77 35,896 51,825 87,721 77 36,681 53,265 89,946

78 31,676 46,481 78,157 78 32,352 47,768 80,120

79 27,716 41,344 69,060 79 28,317 42,522 70,839

80+ 130,521 206,765 337,286 80+ 133,451 213,365 346,816

Total 23,516,168 24,715,779 48,231,947 Total 23,631,400 24,911,863 48,543,263


2007 2008


0 502,246 489,482 991,728 0 500,241 487,513 987,754

1 489,196 482,080 971,276 1 486,201 479,036 965,237

2 488,000 482,013 970,013 2 483,720 477,701 961,421

3 486,685 481,434 968,119 3 484,645 479,328 963,973

4 486,969 482,256 969,225 4 484,241 479,484 963,725

5 488,298 483,955 972,253 5 485,326 480,953 966,279

6 488,721 484,763 973,484 6 486,849 482,847 969,696

7 488,472 484,857 973,329 7 487,478 483,824 971,302

8 487,514 484,224 971,738 8 487,368 484,031 971,399

9 487,139 484,147 971,286 9 486,507 483,472 969,979

10 485,747 483,069 968,816 10 486,065 483,339 969,404

11 485,301 482,953 968,254 11 484,581 482,182 966,763

12 484,432 482,412 966,844 12 484,144 482,072 966,216

13 483,151 481,465 964,616 13 483,276 481,530 964,806

14 481,422 480,104 961,526 14 481,950 480,560 962,510

15 478,531 478,014 956,545 15 478,255 477,669 955,924

16 474,206 474,925 949,131 16 473,387 474,044 947,431

17 467,700 469,671 937,371 17 468,982 470,916 939,898

18 461,637 464,877 926,514 18 462,397 465,623 928,020

19 455,910 460,454 916,364 19 456,255 460,787 917,042

20 446,908 454,151 901,059 20 447,799 455,110 902,909

21 435,020 446,264 881,284 21 436,091 447,561 883,652

22 422,930 438,046 860,976 22 424,167 439,640 863,807

23 411,636 430,471 842,107 23 412,052 431,392 843,444

24 456,158 455,546 911,704 24 400,742 423,789 824,531

25 462,826 459,121 921,947 25 445,864 449,235 895,099

26 453,585 453,537 907,122 26 453,249 453,220 906,469

27 441,576 445,363 886,939 27 443,999 447,607 891,606

28 428,634 436,104 864,738 28 431,994 439,410 871,404

29 415,058 426,087 841,145 29 419,058 430,134 849,192

30 402,857 416,817 819,674 30 406,800 420,906 827,706

31 391,536 408,098 799,634 31 395,905 412,422 808,327

32 379,867 399,222 779,089 32 384,579 403,685 788,264

33 367,927 390,237 758,164 33 372,901 394,793 767,694

34 355,817 381,149 736,966 34 360,950 385,790 746,740

35 344,742 372,606 717,348 35 349,799 377,344 727,143

36 334,923 364,570 699,493 36 339,671 369,436 709,107

37 325,443 356,345 681,788 37 329,816 361,375 691,191

38 316,276 347,995 664,271 38 320,292 353,122 673,414

39 307,475 339,704 647,179 39 311,074 344,743 655,817

40 299,527 331,873 631,400 40 303,025 336,906 639,931

41 292,014 324,244 616,258 41 295,812 329,523 625,335

42 284,030 316,303 600,333 42 288,222 321,850 610,072

43 275,698 308,114 583,812 43 280,157 313,863 594,020

44 267,185 299,691 566,876 44 271,743 305,624 577,367


2007 2008


45 259,192 291,459 550,651 45 263,646 297,436 561,082

46 251,792 283,577 535,369 46 256,055 289,433 545,488

47 244,634 275,869 520,503 47 248,551 281,486 530,037

48 237,531 268,184 505,715 48 241,283 273,705 514,988

49 230,373 260,546 490,919 49 234,064 265,943 500,007

50 223,037 252,687 475,724 50 227,065 258,368 485,433

51 215,148 244,103 459,251 51 219,883 250,566 470,449

52 206,203 234,396 440,599 52 211,876 241,896 453,772

53 196,550 223,950 420,500 53 202,828 232,108 434,936

54 186,519 213,123 399,642 54 193,086 221,585 414,671

55 176,864 202,726 379,590 55 183,083 210,746 393,829

56 168,050 193,317 361,367 56 173,455 200,331 373,786

57 160,257 185,203 345,460 57 164,554 190,835 355,389

58 153,188 178,031 331,219 58 156,658 182,618 339,276

59 146,321 171,158 317,479 59 149,476 175,328 324,804

60 139,334 164,127 303,461 60 142,539 168,350 310,889

61 132,291 156,977 289,268 61 135,489 161,214 296,703

62 125,028 149,526 274,554 62 128,348 153,940 282,288

63 117,669 141,909 259,578 63 121,005 146,370 267,375

64 110,407 134,372 244,779 64 113,581 138,642 252,223

65 103,418 127,114 230,532 65 106,281 131,003 237,284

66 96,702 120,118 216,820 66 99,260 123,643 222,903

67 90,279 113,418 203,697 67 92,506 116,537 209,043

68 84,113 106,962 191,075 68 86,053 109,727 195,780

69 78,085 100,584 178,669 69 79,866 103,162 183,028

70 72,218 94,300 166,518 70 73,836 96,688 170,524

71 66,633 88,256 154,889 71 67,986 90,316 158,302

72 61,335 82,463 143,798 72 62,424 84,187 146,611

73 56,271 76,843 133,114 73 57,161 78,316 135,477

74 51,409 71,351 122,760 74 52,147 72,627 124,774

75 46,678 65,876 112,554 75 47,355 67,084 114,439

76 42,035 60,335 102,370 76 42,719 61,583 104,302

77 37,473 54,711 92,184 77 38,201 56,050 94,251

78 33,070 49,120 82,190 78 33,798 50,480 84,278

79 28,931 43,722 72,653 79 29,586 44,984 74,570

80+ 136,468 220,165 356,633 80+ 139,579 227,174 366,753

Total 23,736,431 25,099,391 48,835,822 Total 23,832,912 25,279,852 49,112,764


2009 2010


0 496,132 483,488 979,620 0 494,145 481,536 975,681

1 484,682 477,414 962,096 1 481,162 473,812 954,974

2 480,925 474,842 955,767 2 479,602 473,408 953,010

3 480,517 475,157 955,674 3 477,871 472,441 950,312

4 482,318 477,488 959,806 4 478,319 473,438 951,757

5 482,682 478,260 960,942 5 480,843 476,347 957,190

6 483,943 479,908 963,851 6 481,368 477,279 958,647

7 485,664 481,963 967,627 7 482,822 479,082 961,904

8 486,429 483,047 969,476 8 484,672 481,241 965,913

9 486,411 483,327 969,738 9 485,525 482,394 967,919

10 485,500 482,724 968,224 10 485,473 482,640 968,113

11 484,982 482,525 967,507 11 484,502 481,986 966,488

12 483,508 481,375 964,883 12 483,992 481,793 965,785

13 483,071 481,265 964,336 13 482,520 480,643 963,163

14 482,159 480,699 962,858 14 482,039 480,509 962,548

15 479,126 478,402 957,528 15 479,678 478,821 958,499

16 473,713 474,182 947,895 16 475,185 475,398 950,583

17 468,767 470,520 939,287 17 469,697 471,142 940,839

18 464,280 467,349 931,629 18 464,671 467,440 932,111

19 457,619 462,016 919,635 19 460,103 464,229 924,332

20 449,108 456,093 905,201 20 451,436 457,973 909,409

21 438,304 449,333 887,637 21 440,937 451,132 892,069

22 426,559 441,751 868,310 22 430,094 444,338 874,432

23 414,610 433,800 848,410 23 418,324 436,726 855,050

24 402,482 425,524 828,006 24 406,361 428,748 835,109

25 391,842 418,294 810,136 25 394,799 420,785 815,584

26 437,460 444,049 881,509 26 384,727 413,866 798,593

27 444,783 447,986 892,769 27 430,166 439,533 869,699

28 435,527 442,346 877,873 28 437,430 443,424 880,854

29 423,525 434,128 857,653 29 428,168 437,758 865,926

30 411,727 425,530 837,257 30 417,123 430,107 847,230

31 400,598 416,979 817,577 31 406,275 422,075 828,350

32 389,695 408,477 798,172 32 395,138 413,507 808,645

33 378,359 399,723 778,082 33 384,223 404,985 789,208

34 366,667 390,813 757,480 34 372,870 396,212 769,082

35 355,542 382,361 737,903 35 361,871 387,762 749,633

36 345,206 374,460 719,666 36 351,426 379,767 731,193

37 335,041 366,525 701,566 37 341,053 371,838 712,891

38 325,143 358,435 683,578 38 330,845 363,874 694,719

39 315,569 350,152 665,721 39 320,898 355,751 676,649

40 306,993 342,161 649,154 40 311,857 347,788 659,645

41 299,570 334,705 634,275 41 303,801 340,111 643,912

42 292,277 327,276 619,553 42 296,297 332,609 628,906

43 284,603 319,554 604,157 43 288,916 325,130 614,046

44 276,452 311,515 587,967 44 281,152 317,352 598,504


2009 2010


45 268,382 303,470 571,852 45 273,274 309,466 582,740

46 260,619 295,470 556,089 46 265,468 301,568 567,036

47 252,924 287,400 540,324 47 257,600 293,499 551,099

48 245,311 279,380 524,691 48 249,794 285,356 535,150

49 237,926 271,520 509,446 49 242,065 277,256 519,321

50 230,826 263,799 494,625 50 234,761 269,416 504,177

51 223,937 256,258 480,195 51 227,731 261,709 489,440

52 216,624 248,360 464,984 52 220,705 254,066 474,771

53 208,496 239,596 448,092 53 213,257 246,065 459,322

54 199,342 229,721 429,063 54 205,004 237,199 442,203

55 189,601 219,167 408,768 55 195,820 227,271 423,091

56 179,608 208,300 387,908 56 186,060 216,673 402,733

57 169,900 197,802 367,702 57 175,984 205,721 381,705

58 160,912 188,214 349,126 58 166,197 195,136 361,333

59 152,914 179,889 332,803 59 157,123 185,452 342,575

60 145,658 172,492 318,150 60 149,058 177,026 326,084

61 138,643 165,402 304,045 61 141,720 169,515 311,235

62 131,490 158,134 289,624 62 134,594 162,287 296,881

63 124,257 150,731 274,988 63 127,341 154,883 282,224

64 116,840 143,039 259,879 64 120,022 147,348 267,370

65 109,372 135,204 244,576 65 112,549 139,540 252,089

66 102,040 127,464 229,504 66 105,044 131,598 236,642

67 94,984 119,996 214,980 67 97,681 123,749 221,430

68 88,207 112,782 200,989 68 90,604 116,176 206,780

69 81,738 105,866 187,604 69 83,817 108,860 192,677

70 75,549 99,203 174,752 70 77,352 101,848 179,200

71 69,536 92,640 162,176 71 71,179 95,094 166,273

72 63,717 86,189 149,906 72 65,199 88,450 153,649

73 58,201 79,989 138,190 73 59,434 81,934 141,368

74 52,996 74,054 127,050 74 53,985 75,679 129,664

75 48,056 68,319 116,375 75 48,863 69,702 118,565

76 43,358 62,747 106,105 76 44,023 63,941 107,964

77 38,840 57,243 96,083 77 39,442 58,364 97,806

78 34,471 51,748 86,219 78 35,067 52,887 87,954

79 30,252 46,260 76,512 79 30,871 47,459 78,330

80+ 142,835 234,459 377,294 80+ 146,233 242,026 388,259

Total 23,948,432 25,470,228 49,418,660 Total 24,085,297 25,672,949 49,758,246


2011 2012


0 494,511 481,869 976,380 0 495,317 482,632 977,949

1 479,753 472,273 952,026 1 480,685 473,020 953,705

2 476,313 470,020 946,333 2 475,130 468,696 943,826

3 476,699 471,149 947,848 3 473,580 467,922 941,502

4 475,802 470,843 946,645 4 474,759 469,676 944,435

5 476,938 472,384 949,322 5 474,514 469,878 944,392

6 479,599 475,432 955,031 6 475,772 471,542 947,314

7 480,312 476,515 956,827 7 478,610 474,729 953,339

8 481,891 478,416 960,307 8 479,444 475,908 955,352

9 483,825 480,640 964,465 9 481,104 477,872 958,976

10 484,658 481,772 966,430 10 483,032 480,085 963,117

11 484,561 481,980 966,541 11 483,835 481,190 965,025

12 483,599 481,331 964,930 12 483,746 481,403 965,149

13 483,090 481,137 964,227 13 482,785 480,754 963,539

14 481,575 479,967 961,542 14 482,234 480,539 962,773

15 479,904 478,914 958,818 15 479,790 478,655 958,445

16 476,342 476,303 952,645 16 477,176 476,883 954,059

17 471,773 472,844 944,617 17 473,537 474,238 947,775

18 466,206 468,551 934,757 18 468,890 470,742 939,632

19 461,103 464,809 925,912 19 463,248 466,411 929,659

20 454,885 460,839 915,724 20 456,856 462,077 918,933

21 444,588 453,831 898,419 21 449,362 457,516 906,878

22 434,050 446,956 881,006 22 439,026 450,476 889,502

23 423,180 440,132 863,312 23 428,460 443,573 872,033

24 411,396 432,492 843,888 24 417,573 436,721 854,294

25 399,893 424,764 824,657 25 406,143 429,267 835,410

26 388,795 417,052 805,847 26 394,998 421,728 816,726

27 378,723 410,112 788,835 27 383,904 413,995 797,899

28 423,986 435,692 859,678 28 373,834 407,034 780,868

29 431,192 439,537 870,729 29 418,922 432,529 851,451

30 422,700 434,323 857,023 30 426,667 436,699 863,366

31 412,425 427,128 839,553 31 418,759 431,827 850,586

32 401,568 419,076 820,644 32 408,472 424,610 833,082

33 390,418 410,488 800,906 33 397,601 416,536 814,137

34 379,484 401,947 781,431 34 386,432 407,927 794,359

35 368,688 393,543 762,231 35 375,919 399,666 775,585

36 358,236 385,460 743,696 36 365,537 391,538 757,075

37 347,753 377,437 725,190 37 355,045 383,427 738,472

38 337,337 369,477 706,814 38 344,518 375,372 719,890

39 327,079 361,480 688,559 39 334,050 367,379 701,429

40 317,556 353,609 671,165 40 324,107 359,566 683,673

41 308,926 345,895 654,821 41 314,886 351,877 666,763

42 300,791 338,172 638,963 42 306,180 344,115 650,295

43 293,200 330,618 623,818 43 297,961 336,340 634,301

44 285,725 323,082 608,807 44 290,276 328,728 619,004


2011 2012


45 278,161 315,415 593,576 45 282,929 321,261 604,190

46 270,476 307,634 578,110 46 275,486 313,659 589,145

47 262,563 299,665 562,228 47 267,691 305,804 573,495

48 254,583 291,520 546,103 48 259,664 297,757 557,421

49 246,661 283,296 529,957 49 251,566 289,530 541,096

50 238,976 275,196 514,172 50 243,649 281,284 524,933

51 231,705 267,347 499,052 51 235,961 273,156 509,117

52 224,537 259,538 484,075 52 228,552 265,204 493,756

53 217,368 251,787 469,155 53 221,240 257,284 478,524

54 209,780 243,673 453,453 54 213,923 249,416 463,339

55 201,461 234,734 436,195 55 206,240 241,210 447,450

56 192,227 224,740 416,967 56 197,836 232,180 430,016

57 182,371 214,046 396,417 57 188,487 222,077 410,564

58 172,213 203,004 375,217 58 178,534 211,283 389,817

59 162,348 192,328 354,676 59 168,295 200,147 368,442

60 153,216 182,554 335,770 60 158,374 189,384 347,758

61 145,078 174,021 319,099 61 149,181 179,513 328,694

62 137,630 166,374 304,004 62 140,946 170,855 311,801

63 130,397 159,003 289,400 63 133,393 163,067 296,460

64 123,050 151,460 274,510 64 126,057 155,550 281,607

65 115,661 143,795 259,456 65 118,631 147,869 266,500

66 108,139 135,869 244,008 66 111,178 140,072 251,250

67 100,599 127,814 228,413 67 103,611 132,023 235,634

68 93,217 119,862 213,079 68 96,049 123,859 219,908

69 86,135 112,187 198,322 69 88,664 115,808 204,472

70 79,357 104,780 184,137 70 81,594 108,042 189,636

71 72,913 97,680 170,593 71 74,844 100,551 175,395

72 66,773 90,844 157,617 72 68,438 93,373 161,811

73 60,848 84,133 144,981 73 62,354 86,467 148,821

74 55,159 77,568 132,727 74 56,506 79,707 136,213

75 49,803 71,279 121,082 75 50,918 73,113 124,031

76 44,787 65,282 110,069 76 45,679 66,812 112,491

77 40,070 59,520 99,590 77 40,793 60,820 101,613

78 35,632 53,965 89,597 78 36,225 55,084 91,309

79 31,425 48,544 79,969 79 31,954 49,582 81,536

80+ 149,720 249,799 399,519 80+ 153,238 257,689 410,927

Total 24,246,067 25,890,547 50,136,614 Total 24,431,356 26,123,790 50,555,146


2013 2014*


0 496,596 483,860 980,456 0 498,936 486,111 985,047

1 482,101 474,234 956,335 1 484,005 475,905 959,910

2 476,282 469,658 945,940 2 477,890 471,057 948,947

3 472,563 466,759 939,322 3 473,836 467,840 941,676

4 471,781 466,583 938,364 4 470,861 465,514 936,375

5 473,563 468,802 942,365 5 470,653 465,775 936,428

6 473,426 469,110 942,536 6 472,531 468,086 940,617

7 474,855 470,907 945,762 7 472,559 468,522 941,081

8 477,806 474,182 951,988 8 474,098 470,402 944,500

9 478,719 475,420 954,139 9 477,121 473,730 950,851

10 480,388 477,386 957,774 10 478,048 474,974 953,022

11 482,302 479,584 961,886 11 479,709 476,929 956,638

12 483,111 480,694 963,805 12 481,627 479,130 960,757

13 483,022 480,905 963,927 13 482,435 480,239 962,674

14 482,020 480,237 962,257 14 482,305 480,433 962,738

15 480,798 479,513 960,311 15 480,732 479,333 960,065

16 477,672 477,115 954,787 16 478,925 478,171 957,096

17 474,982 475,309 950,291 17 475,725 475,743 951,468

18 471,264 472,628 943,892 18 472,956 473,903 946,859

19 466,541 469,096 935,637 19 469,162 471,187 940,349

20 459,972 464,339 924,311 20 463,647 467,291 930,938

21 452,665 459,579 912,244 21 456,300 462,173 918,473

22 445,126 454,984 900,110 22 448,948 457,382 906,330

23 434,762 447,916 882,678 23 441,375 452,756 894,131

24 424,178 440,987 865,165 24 430,993 445,662 876,655

25 413,537 434,257 847,794 25 420,614 438,833 859,447

26 402,358 426,931 829,289 26 410,182 432,207 842,389

27 391,216 419,372 810,588 27 399,006 424,860 823,866

28 380,127 411,620 791,747 28 387,869 417,281 805,150

29 370,059 404,640 774,699 29 376,784 409,512 786,296

30 415,394 430,310 845,704 30 367,073 402,731 769,804

31 423,495 434,694 858,189 31 412,584 428,536 841,120

32 415,567 429,795 845,362 32 420,613 432,874 853,487

33 405,262 422,554 827,816 33 412,659 427,945 840,604

34 394,369 414,458 808,827 34 402,329 420,679 823,008

35 383,489 406,038 789,527 35 391,672 412,738 804,410

36 373,256 397,962 771,218 36 381,022 404,471 785,493

37 362,832 389,807 752,639 37 370,745 396,365 767,110

38 352,293 381,664 733,957 38 360,272 388,177 748,449

39 341,714 373,573 715,287 39 349,679 379,997 729,676

40 331,450 365,698 697,148 40 339,260 372,001 711,261

41 321,700 358,000 679,700 41 329,149 364,213 693,362

42 312,405 350,262 662,667 42 319,325 356,466 675,791

43 303,616 342,447 646,063 43 309,948 348,674 658,622

44 295,304 334,615 629,919 44 301,068 340,801 641,869


2013 2014*


45 287,680 327,032 614,712 45 292,795 332,982 625,777

46 280,384 319,588 599,972 46 285,196 325,408 610,604

47 272,826 311,911 584,737 47 277,782 317,887 595,669

48 264,913 303,976 568,889 48 270,102 310,127 580,229

49 256,766 295,844 552,610 49 262,065 302,105 564,170

50 248,635 287,572 536,207 50 253,868 293,919 547,787

51 240,677 279,277 519,954 51 245,681 285,589 531,270

52 232,852 271,046 503,898 52 237,586 277,190 514,776

53 225,299 262,983 488,282 53 229,620 268,846 498,466

54 217,838 254,945 472,783 54 221,917 260,664 482,581

55 210,403 246,971 457,374 55 214,331 252,516 466,847

56 202,604 238,655 441,259 56 206,767 244,424 451,191

57 194,063 229,500 423,563 57 198,815 235,971 434,786

58 184,599 219,282 403,881 58 190,135 226,683 416,818

59 174,550 208,380 382,930 59 180,554 216,344 396,898

60 164,246 197,152 361,398 60 170,422 205,336 375,758

61 154,266 186,295 340,561 61 160,054 194,010 354,064

62 144,995 176,314 321,309 62 150,005 183,049 333,054

63 136,668 167,528 304,196 63 140,661 172,953 313,614

64 129,015 159,595 288,610 64 132,248 164,035 296,283

65 121,588 151,931 273,519 65 124,505 155,957 280,462

66 114,088 144,110 258,198 66 116,995 148,144 265,139

67 106,577 136,177 242,754 67 109,428 140,179 249,607

68 98,978 128,008 226,986 68 101,870 132,114 233,984

69 91,408 119,741 211,149 69 94,253 123,829 218,082

70 84,039 111,598 195,637 70 86,695 115,464 202,159

71 77,000 103,749 180,749 71 79,359 107,240 186,599

72 70,295 96,183 166,478 72 72,370 99,317 171,687

73 63,950 88,941 152,891 73 65,732 91,692 157,424

74 57,944 81,983 139,927 74 59,471 84,401 143,872

75 52,198 75,192 127,390 75 53,567 77,410 130,977

76 46,735 68,593 115,328 76 47,947 70,612 118,559

77 41,636 62,305 103,941 77 42,633 64,031 106,664

78 36,907 56,343 93,250 78 37,701 57,782 95,483

79 32,511 50,664 83,175 79 33,151 51,883 85,034

80+ 156,773 265,682 422,455 80+ 160,355 273,842 434,197

Total 24,641,844 26,373,530 51,015,374 Total 24,863,866 26,631,544 51,495,410


APPe

ND

IX D

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1986 Ag

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50


1987 Ag

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10


1990 Ag

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5-9

168,

922

32,8

9418

7,89

465

,395

507,

209

164,

683

464,

776

358,

646

526,

850

215,

220

348,

330

557,

302

626,

534

616,

013

111,

629

10-1

417

8,41

932

,623

191,

770

59,9

5554

1,98

616

5,52

649

4,20

337

1,75

457

9,93

323

2,58

537

3,61

364

4,33

964

2,05

063

1,00

911

0,49

215

-19

176,

364

28,5

6613

6,63

147

,094

486,

022

131,

499

425,

726

317,

865

578,

347

180,

880

296,

967

723,

788

580,

164

526,

625

101,

550

20-2

417

0,13

326

,079

114,

610

34,9

9443

9,61

911

4,89

338

4,42

330

3,73

056

2,85

015

2,74

724

3,10

976

8,90

951

8,97

047

7,89

511

0,38

525

-29

155,

040

24,1

1110

4,86

330

,877

433,

717

108,

066

378,

649

314,

702

532,

818

143,

225

244,

157

683,

437

484,

417

488,

008

111,

907

30-3

413

8,89

721

,931

104,

228

28,1

4141

2,95

210

2,10

336

4,20

630

9,33

549

4,28

714

1,56

822

5,62

562

1,04

144

2,64

147

6,21

410

0,77

135

-39

119,

239

18,6

7299

,541

25,5

2838

4,72

591

,058

349,

706

292,

211

457,

473

137,

875

204,

768

545,

251

387,

362

443,

109

84,3

0340

-44

108,

075

16,8

2597

,820

25,4

3834

9,08

883

,346

324,

329

269,

664

418,

991

131,

711

193,

679

504,

493

359,

989

398,

755

74,0

9745

-49

84,4

2813

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86,8

3422

,704

316,

006

73,5

1330

0,67

924

4,85

738

0,28

712

1,37

518

0,15

645

3,62

430

0,83

136

8,10

566

,531

50-5

471

,979

11,7

7976

,537

20,8

1026

8,90

664

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264,

368

209,

469

309,

138

108,

725

162,

926

381,

992

278,

475

336,

257

54,8

5555

-59

52,5

118,

664

60,0

6216

,129

213,

229

52,7

7821

8,59

417

4,06

525

1,95

790

,846

129,

408

307,

426

200,

659

278,

801

45,1

3960

-64

37,7

646,

489

47,4

1012

,890

164,

601

37,0

9616

4,50

514

2,89

820

0,23

770

,043

101,

117

229,

980

158,

688

210,

581

30,2

6065

-69

25,2

644,

017

31,3

628,

611

120,

446

25,0

3511

0,46

610

2,88

614

4,11

448

,410

76,2

2415

9,33

992

,127

124,

340

19,9

6270

-74

17,5

742,

795

21,1

876,

383

81,6

1017

,248

72,5

8971

,186

92,1

0032

,785

52,4

2499

,696

66,7

5185

,841

12,3

5875

-79

11,6

191,

821

13,7

113,

650

64,3

9913

,779

62,8

6355

,443

72,0

9925

,028

40,3

6578

,024

40,0

6574

,825

10,3

1680

+13

,200

2,05

714

,526

4,26

264

,084

15,8

9362

,424

52,0

8571

,809

27,2

1543

,319

78,2

9048

,000

74,3

1910

,851

Tota

l1,

689,

441

286,

627

1,57

4,07

947

8,80

15,

325,

347

1,40

8,40

14,

867,

373

3,91

7,05

56,

165,

723

2,05

4,39

33,

188,

807

7,36

0,70

35,

824,

432

6,18

4,82

91,

160,

242

POPULATION ESTIMATES: 1983 TO 2014 Report can be downloaded at: www.dop.gov.mm or http://myanmar.unfpa.org/census

population estimates: 1983 to 2014...2019/12/17 · march 2014 as the reference point. it was the...

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