census trends in north carolina diane cherry environments policy manager institute for emerging...

48
Census Trends in North Carolina Diane Cherry Environments Policy Manager Institute for Emerging Issues

Upload: tracey-baldwin

Post on 24-Dec-2015

214 views

Category:

Documents


1 download

TRANSCRIPT

Census Trends in North Carolina

Diane CherryEnvironments Policy ManagerInstitute for Emerging Issues

As the N.C. Census continues to be released, we can begin look at things such

as:

Population & MigrationEthnicity

Age & GenderIncome & Poverty

Family Structure & Living Arrangements

Population & Migration

Source: US Census Bureau

Population & Migration

Source: News & Observer

http://www.forbes.com/2010/06/04/migration-moving-wealthy-interactive-counties-map.html

Population & Migration

Population & Migration

Ethnicity

Age & Gender

Age & Gender

2009 20300

10

20

30

40

50

60

70

80

63

29

37

71

NC County Population Comparison: 0-17 vs. 60+

Counties With More 0-17 than 60+ Counties With More 60+ than 0-17Source: US Census Bureau

Age & Gender

Source: US Census Bureau

Age & Gender

Income & Poverty

3.30%8.50%

14.60%

23.40%

50.20%

Share of Household Income by Quintile: 2010

Lowest Second Middle Fourth HighestSource: US Census Bureau

Income & Poverty

Source: USDA

2000 20100.00%

10.00%20.00%30.00%40.00%50.00%60.00%70.00%80.00%90.00%

100.00%88.90%

66.70%

11.10%

33.30%

North Carolina Housing Type

Owner Occupied Housing Renter Occupied Housing

North Carolina saw a 33% decrease in homeownership from 2000 to 2010 while renting increased by 200%.

Family Structure & Living Arrangements

Family Structure & Living Arrangements

What Will NC Look Like in 2020?

Thank You!Diane Cherry

www.emergingissues.org

@[email protected]

2011 Redistricting:What it Means to Municipalities

Chris NidaResearch Analyst, N.C. League of Municipalities

NCLM Annual ConferenceOctober 24, 2011

Agenda

• What the Census Showed

• Redistricting Basics

• Implications of Redistricting for Municipalities

N.C. Becoming More Urban2000 2010

Municipal Population Municipalities Population

% of State Pop

Municipal Population Municipalities Population

% of State Pop

100,000+ 6 1,534,638 19% 100,000+ 9 2,409,574 25%

50,000-99,999 9 630,440 8% 50,000-99,999 7 503,609 5%

10,000-49,999 47 964,761 12% 10,000-49,999 66 1,382,568 14%

5,000-9,999 44 327,993 4% 5,000-9,999 50 351,597 4%

1,000-4,999 200 487,321 6% 1000-4,999 201 501,889 5%

<1000 234 108,688 1% <1,000 219 100,821 1%

Municipal total 540 4,053,841 50% Municipal total 552 5,250,058 55%

Unincorporated 0 3,995,472 50% Unincorporated 0 4,285,425 45%

TOTAL 540 8,049,313 100% TOTAL 552 9,535,483 100%

Redistricting

• Legally required after completion of decennial census

• Maps drawn and approved by legislature; no gubernatorial veto

• Must be approved by U.S. Justice Department or federal courts before going into effect

Greater Urban Population Reflected in Redistricting

House

YearAverage

Municipal Population per

District

Average Percent of

District Population in

Municipal Boundaries

2011 43,750 55.17%

2003 33,665 49.96%

Senate

YearAverage

Municipal Population per

District

Average Percent of

District Population in

Municipal Boundaries

2011 105,001 55.17%

2003 80,813 50.31%

Population Shifts Leading to Greater Municipal Influence?

• Mecklenburg and Wake counties added two House seats and one Senate seat each

• Greater representation in largest urban areas not necessarily signaling greater overall influence of cities and towns

Municipalities Split Between Districts Increasing

House

YearAverage Number of Municipalities

Per District

Number of Municipalities

in Multiple Districts

2011 6.22 123

2003 5.55 77

Senate

YearAverage

Number of Municipalities

Per District

Number of Municipalities

in Multiple Districts

2011 13.24 81

2003 11.74 43

House Districts2011

Percent of District Population in Municipal BoundariesNumber of Municipalities in District >80 50-80 20-50 <20

1 11 - 1 -

2 or 3 14 5 3 2

4 or 5 3 10 13 3

6 or more 2 17 25 11

Total 30 32 42 16

2003Percent of District Population in Municipal Boundaries

Number of Municipalities in District >80 50-80 20-50 <20

1 8 3 - 1

2 or 3 12 6 12 1

4 or 5 4 7 14 3

6 or more - 8 30 11

Total 24 24 56 16

Senate Districts2011

Percent of District Population in Municipal BoundariesNumber of Municipalities in District >80 50-80 20-50 <20

1 to 5 8 2 - -

6 to 10 1 6 7 -

11 or more - 9 14 3

Total 9 17 21 3

2003Percent of District Population in Municipal Boundaries

Number of Municipalities in District >80 50-80 20-50 <20

1 to 5 7 6 2 -

6 to 10 - 5 3 1

11 or more - 5 17 4

Total 7 16 22 5

Example: House District 74Percent of District Populationin Municipalities' Boundaries

Municipality 2011 2003

Winston-Salem 31.7% 56.8%

Walkertown 5.16% 4.3%

Rural Hall 3.7% 3.9%

Tobaccoville 3.0% 3.5%

King 0.8% 1.0%

Bethania 0.4% 0.2%

Kernersville 14.0% -

Lewisville 2.5% -

Total 61.1% 69.6%

Example: Senate District 5Percent of District Populationin Municipalities' Boundaries

Municipality 2011 2003

Goldsboro 15.7% 23.3%

Greenville 22.6% 22.1%

Winterville 2.1% 3.0%

Mount Olive 1.4% 2.8%

Farmville 2.6% 2.7%

Ayden 2.7% 1.8%

Snow Hill 0.9% 0.9%

Walnut Creek - 0.5%

Hookerton 0.2% 0.3%

Eureka - 0.2%

Walstonburg 0.1% 0.1%

Seven Springs - 0.1%

Kinston 9.9% -

La Grange 1.6% -

Bethel 0.9% -

Grifton 0.8% -

Fountain 0.2% -

Falkland 0.1% -

Grimesland 0.0% -

Total 61.7% 57.9%

Select Municipalities’ Senate Representation

2011 2003

Number of Districts/Population as % of District

Number of Districts/Population as % of District

Municipality 1 2 3 4 5 Municipality 1 2 3 4

Goldsboro 16% 4% Goldsboro 23% 1%

High Point 33% 18% 3% 0% 0% High Point 41% 13% 0% 0%

Rocky Mount 16% 10% 5% Rocky Mount 24% 11%

Wilson 15% 12% Wilson 28%

Select Municipalities’ House Representation

2011 2003

Number of Districts/Population as % of District

Number of Districts/Population as % of District

Municipality 1 2 3 4 Municipality 1 2 3 4

Burlington 34% 31% 1% Burlington 55% 14%

Chapel Hill 47% 19% 4% Chapel Hill 72% 3% 1% 0%

Kernersville 15% 14% 0% 0% Kernersville 27% 0%

New Bern 16% 14% 6% New Bern 24% 13%

Rocky Mount 47% 22% 5% Rocky Mount 32% 28% 26% 1%

Salisbury 30% 13% Salisbury 41%

Sanford 18% 18% Sanford 33%

Shelby 15% 12% Shelby 29% 0%

Wilson 31% 28% Wilson 54% 15%

Select Municipalities’ Legislative Representation

2011 2003

Number of Districts/Population as % of District Number of Districts/Population as % of District

House

Municipality 1 2 3 4 1 2 3 4

Asheville 79.8% 15.6% 6.8% 44.5% 38.6% 17.5%

Fayetteville 90.3% 70.9% 69.7% 22.5% 73.1% 55.7% 32.7% 19.1%

Senate

Greensboro 78.0% 31.7% 27.9% 95.2% 36.2% 6.0%

Durham 63.8% 53.3% 0.0% 0.0% 80.0% 38.3% 0.0% 0.0%

Conclusions

• Mixed bag for municipalities – some benefit, while some see influence potentially diluted

• Working together crucial for many municipalities sharing districts

• Subject to change pending final approval

Thank You

Chris Nida

(919) 715-3945

[email protected]

Municipal Estimates: Methods, Data and Changes

Jennifer Song, State Demographer, Office of State Budget and Management

September 2011 Data Release

July 1, 2010 Certified County Estimates July 1, 2010 Certified Municipal Estimates Final 2011-2031 State and County Projection

Series

2011 Data Release Highlights

July 1, 2010 County and Municipal Estimates incorporate Census 2010 data as the new base.

CQR challenges accepted by the Census Bureau will be used as the base in subsequent estimates.

Guidelines on Data Usage

DO NOT COMPARE:

Last year’s 2009 municipal estimates with the current July 1, 2010 municipal estimates.

DO COMPARE: July 1, 2010 municipal estimates to Census

2010 and previous Census counts. Smoothed county estimates from 2000-2009

which are consistent with both Census 2000 and Census 2010.

Why the difference?

2009 estimates used 2000 Census as base; 2010 estimates use 2010 Census as base

Input data – annexation data, housing unit counts

The ‘smoothing’ nature of estimates and changing patterns of growth

The Municipal Estimates Model

Will use Census 2010 as the base Uses data on annexations, group

quarters and housing submitted by the municipalities

Is a 3-method model

Method 1: Municipality Grows Like the County Assumes the non-group quarters population

of the municipality grows at the same rate as the county population

This was the only method used this year (for the July 1, 2010 estimates)

Method 2: Municipality Grows Like it Has in the Past Grows the municipality based on past growth

trends. Assumes growth will be different in different

parts of the municipality. Separate growth rates for: The muncipal core (area incorporated prior to

2000) The municipal suburban area (area incorporated

between the 2000 and 2010 Census) Newly annexed areas

Method 3: Population Grows Like Housing Grows the municipality’s population at the

same rate as it’s housing unit share As the municipality’s share of the county’s

housing stock changes, its share of the county’s population is changed at the same rate

Most similar to the Census Bureau’s estimates method

Putting it all together

Traditionally the 3 methods have been weighted equally (i.e., averaged)

After testing with Census 2010, we will be introducing 3 alternative weighting approaches: Equal weights – i.e, all three methods predicted

equally well for the muncipality 50%, 25%, 25% - one method predicted

particularly well for the municipality 40%, 40%, 20% - two methods predicted about

equally well

Our Annual Surveys – Boundary and Annexation Survey Asks for annexation data, occupied housing

units and land areas This is our main source of data about

annexations – if they aren’t reported, they don’t get counted.

Important to update occupied housing unit counts to get the most accurate estimate

Report all annexations – we also estimate land area, so even commercial annexations should be included

Our Annual Surveys – Group Quarters Verify that group quarters facilities are

correctly located Inform us about new facilities or missing

facilities In a few cases (such as orphanages or

monasteries) provides us population counts Only track facilities with 20 or more long-term

residents Assisted living facilities and jails are not

considered group quarters

Our Annual Surveys – Housing Unit Data Effort to improve on Census Bureau housing

estimates – will still serve as default The main data that is used for Method 3 Working with the Census Bureau to submit

the data to them as well

Keep in Touch!

Even if you have no changes, return the surveys

If your contact information changes, let our office know

If you submit a CQR challenge, let us know Our surveys are separate from those sent out

by the Census Bureau

More Information

Website with estimates and projection data:

http://demog.state.nc.us

OR

http://www.osbm.state.nc.us/ncosbm/facts_and_figures/ socioeconomic_data/population_estimates.shtm

Contact information: [email protected] 919-807-4756