14 limpopo province

20
AgeGrp 2000/01 2010/11 2020/21 8% 6% 4% 2% 0% 2% 4% 6% 8% South Africa % of total population [Male | Female] - lines 8% 6% 4% 2% 0% 2% 4% 6% 8% South Africa % of total population [Male | Female] - lines 8% 6% 4% 2% 0% 2% 4% 6% 8% South Africa % of total population [Male | Female] - lines 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars 65+ 60-64 years 55-59 years 50-54 years 45-49 years 40-44 years 35-39 years 30-34 years 25-29 years 20-24 years 15-19 years 10-14 years 05-09 years 00-04 years 3.0% 1.3% 1.7% 2.6% 2.9% 3.5% 3.6% 4.1% 4.6% 6.1% 7.5% 7.2% 5.9% 1.4% 1.3% 1.6% 1.7% 2.1% 2.4% 2.9% 3.7% 6.0% 7.4% 7.0% 5.7% 3.0% 1.4% 2.0% 2.4% 2.7% 3.0% 3.5% 3.7% 4.0% 5.2% 6.0% 5.6% 5.2% 6.1% 1.5% 1.4% 1.6% 2.0% 2.5% 2.9% 3.8% 5.1% 6.0% 5.5% 5.3% 6.4% 4.0% 1.9% 2.3% 2.5% 2.9% 3.2% 3.6% 4.3% 4.0% 3.7% 4.3% 5.5% 5.6% 5.3% 1.9% 1.6% 2.1% 2.6% 3.4% 4.0% 3.9% 3.7% 4.5% 5.8% 5.8% 5.4% LP, Mopani DM (DC33) Sex female male Gender (ZA) female (ZA) male (ZA) Section B: National and District Profiles 413 Section B: Profile Limpopo Province 413 14 Limpopo Province Mopani District Municipality (DC33) The Mopani District Municipality a is a Category C municipality located within the north-eastern quadrant of the Limpopo Province. It is bordered in the north by Zimbabwe and in the east by Mozambique. The district consists of five local municipalities: Ba-Phalaborwa, Greater Giyani, Greater Letaba, Greater Tzaneen and Maruleng. Cities/Towns: Giyani, Gravelotte, Haenertsburg, Hoedspruit, Leydsdorp, Modjadjiskloof, Tzaneen Area: 20 011km² Population (2019) b : 1 238 398 District percentage population by age-gender group compared to South Africa Burden of disease profile For the percentage of deaths by broad cause, deaths are classified into four groups, namely: (i) injuries; (ii) non- communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal, perinatal and nutritional conditions. Data are given by gender and age group for the period 2012–2017. The second part of the graph shows the 10 leading single causes of death within each age group and by gender for 2012–2017. a Available from: https://municipalities.co.za/overview/128/mopani-district-municipality. b Mid-year Population Estimates 2019, Stats SA.

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Page 1: 14 Limpopo Province

AgeGrp

2000/01 2010/11 2020/21

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

65+

60-64 years

55-59 years

50-54 years

45-49 years

40-44 years

35-39 years

30-34 years

25-29 years

20-24 years

15-19 years

10-14 years

05-09 years

00-04 years

3.0%

1.3%

1.7%

2.6%

2.9%

3.5%

3.6%

4.1%

4.6%

6.1%

7.5%

7.2%

5.9%

1.4%

1.3%

1.6%

1.7%

2.1%

2.4%

2.9%

3.7%

6.0%

7.4%

7.0%

5.7%

3.0%

1.4%

2.0%

2.4%

2.7%

3.0%

3.5%

3.7%

4.0%

5.2%

6.0%

5.6%

5.2%

6.1%

1.5%

1.4%

1.6%

2.0%

2.5%

2.9%

3.8%

5.1%

6.0%

5.5%

5.3%

6.4%

4.0%

1.9%

2.3%

2.5%

2.9%

3.2%

3.6%

4.3%

4.0%

3.7%

4.3%

5.5%

5.6%

5.3%

1.9%

1.6%

2.1%

2.6%

3.4%

4.0%

3.9%

3.7%

4.5%

5.8%

5.8%

5.4%

District % population by age-gender group compared to South Africa

LP, Mopani DM (DC33)

Sexfemalemale

Gender (ZA)female (ZA)male (ZA)

Section B: National and District Profiles

413

Section B: Profile Limpopo Province

413

14 Limpopo Province Mopani District Municipality (DC33)

The Mopani District Municipalitya is a Category C municipality located within the north-eastern quadrant of the Limpopo Province. It is bordered in the north by Zimbabwe and in the east by Mozambique. The district consists of five local municipalities: Ba-Phalaborwa, Greater Giyani, Greater Letaba, Greater Tzaneen and Maruleng.

Cities/Towns: Giyani, Gravelotte, Haenertsburg, Hoedspruit, Leydsdorp, Modjadjiskloof, Tzaneen

Area: 20 011km²

Population (2019)b: 1 238 398

District percentage population by age-gender group compared to South Africa

Burden of disease profile

For the percentage of deaths by broad cause, deaths are classified into four groups, namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal, perinatal and nutritional conditions. Data are given by gender and age group for the period 2012–2017. The second part of the graph shows the 10 leading single causes of death within each age group and by gender for 2012–2017.

a Available from: https://municipalities.co.za/overview/128/mopani-district-municipality.

b Mid-year Population Estimates 2019, Stats SA.

Page 2: 14 Limpopo Province

AgeGrp Female Male<5 years

5-1415-2425-64

65+Total 30%

24%25%

31%42%

78%

18%4%

33%30%

19%5%

47%70%

39%23%22%

11%

4%2%4%

17%17%

6%

29%22%23%

19%37%

78%

20%9%

31%13%

17%5%

39%65%

33%20%

21%10%

11%4%

13%48%

26%6%

LP, Mopani DM: DC33, 2012 - 2017

Rank Female Male

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Poisonings (including herbal) (2.5%)

Lower respiratory infections (23.6%)

Preterm birth complications (11.9%)Protein-energy malnutrition (6.9%)

Other perinatal conditions (2.3%)

Meningitis/encephalitis (5.5%)

Diarrhoeal diseases (17.9%)

Nephritis/nephrosis (1.8%)

Birth asphyxia (6.0%)

HIV/AIDS (3.8%)

Accidental threats to breathing (4.7%)

Lower respiratory infections (15.5%)

Meningitis/encephalitis (11.3%)

Diarrhoeal diseases (11.9%)

Nephritis/nephrosis (3.1%)

Tuberculosis (11.4%)

Road injuries (7.5%)HIV/AIDS (9.8%)

Drowning (2.5%)Epilepsy (2.7%)

Endocrine nutritional,blood, immune (3.2%)

Accidental threats to breathing (2.5%)

Lower respiratory infections (11.2%)

Meningitis/encephalitis (6.9%)

Interpersonal violence (2.7%)

Diarrhoeal diseases (7.6%)

Nephritis/nephrosis (2.6%)

Tuberculosis (14.4%)

Road injuries (7.2%)

HIV/AIDS (16.6%)

Endocrine nutritional,blood, immune (3.2%)

Lower respiratory infections (9.8%)

Hypertensive heart disease (4.5%)Cerebrovascular disease (4.1%)

Meningitis/encephalitis (5.1%)

Diarrhoeal diseases (6.4%)

Nephritis/nephrosis (3.3%)

Diabetes mellitus (5.7%)

Tuberculosis (14.0%)HIV/AIDS (18.9%)

Lower respiratory infections (10.8%)

Hypertensive heart disease (14.5%)Cerebrovascular disease (15.0%)

Ischaemic heart disease (2.5%)

Meningitis/encephalitis (6.0%)Diarrhoeal diseases (4.7%)Nephritis/nephrosis (4.7%)

Diabetes mellitus (11.1%)

Other respiratory (3.4%)Tuberculosis (2.5%)

Poisonings (including herbal) (2.9%)

Lower respiratory infections (21.9%)

Preterm birth complications (12.1%)

Protein-energy malnutrition (5.9%)

Other perinatal conditions (2.9%)

Meningitis/encephalitis (5.8%)

Diarrhoeal diseases (17.7%)

Birth asphyxia (7.5%)

Tuberculosis (2.2%)

HIV/AIDS (3.3%)

Accidental threats to breathing (3.3%)

Lower respiratory infections (13.0%)

Other unintentional injuries (2.0%)

Meningitis/encephalitis (6.5%)

Diarrhoeal diseases (13.3%)

Nephritis/nephrosis (2.3%)

Road injuries (6.7%)

Tuberculosis (9.3%)Drowning (11.7%)

HIV/AIDS (9.2%)

Accidental threats to breathing (11.4%)

Lower respiratory infections (6.0%)

Interpersonal violence (11.2%)

Meningitis/encephalitis (5.3%)Diarrhoeal diseases (4.6%)

Mechanical forces (4.2%)

Road injuries (15.0%)

Tuberculosis (7.7%)

HIV/AIDS (5.7%)

Drowning (4.4%)

Lower respiratory infections (9.6%)

Hypertensive heart disease (3.2%)

Cerebrovascular disease (3.7%)

Meningitis/encephalitis (4.6%)

Diarrhoeal diseases (5.8%)

Nephritis/nephrosis (3.5%)

Diabetes mellitus (4.0%)

Tuberculosis (16.4%)

Road injuries (5.1%)

HIV/AIDS (14.5%)

Lower respiratory infections (11.2%)Hypertensive heart disease (11.2%)

Cerebrovascular disease (9.7%)

Ischaemic heart disease (3.3%)

Meningitis/encephalitis (4.7%)Diarrhoeal diseases (4.5%)

Nephritis/nephrosis (4.8%)

Diabetes mellitus (9.7%)Tuberculosis (6.1%)

Prostate (4.0%)

Rank Maternal conditions All other causes

Fem

ale

15-4

9

12345678910

Maternal haemorrhage (22.6%) n=27

Abortion (16.7%) n=20Hypertension in pregnancy (15.3%) n=19

Other maternal (27.2%) n=33

Indirect maternal (18.2%) n=22

Nephritis/nephrosis (3.2%) n=302Diabetes mellitus (2.7%) n=255Hypertensive heart disease (2.5%) n=236

Meningitis/encephalitis (5.8%) n=559

Cervix (2.3%) n=216

Endocrine nutritional,blood, immune (3.4%) n=323

Diarrhoeal diseases (7.0%) n=672Lower respiratory infections (11.4%) n=1 090

Tuberculosis (16.5%) n=1 577HIV/AIDS (22.8%) n=2 182

Percentage ofdeaths by broad

causes andsingle leading

causes

BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut

Prov, DistrictLP, Mopani DM: DC33

Show history

Percentages are shownaccording to all the deaths

within the age/gendercategory of each box,

although only the leading10 causes are displayed.

414

Section B: National and District Profiles

414

Section B: Profile Limpopo Province

Percentage of deaths by broad cause and leading causes, 2012–2017

Page 3: 14 Limpopo Province

Mopani: DC33

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

1_1_

Fam

ily p

lann

ing

Couple yearprotection rate [ |DHIS]

1_2_

Preg

nanc

y an

d de

liver

y ca

re

Antenatal 1st visitcoverage [female |DHIS]

Delivery in 10 to 19years in facility rate[female | DHIS]

Maternal mortalityin facility ratio[female | DHIS]

Neonatal death infacility rate [bothsexes | DHIS]

1_3_

Chi

ld im

mun

isat

ion

Immunisationunder 1 yearcoverage [bothsexes | DHIS]

1_4_

Chi

ld tr

eatm

ent

Death in facilityunder 5 years rate[both sexes |DHIS]

Pneumonia casefatality under 5years rate [bothsexes <5 years |DHIS]

2_1_

TB tr

eatm

ent

TB DS treatmentsuccess rate [bothsexes all ages |ETR/Tier.Net]

60

70

80

90

80

90

100

13

14

15

100

120

140

160

12

14

16

60

70

80

6

8

10

2

4

6

76

78

80

82

60

70

80

90

80

90

100

13

14

15

100

120

140

160

12

14

16

60

70

80

6

8

10

2

4

6

76

78

80

82

29

2315

13

23

27

8

23

262222

11

28

1721

36

35

23

393527

46

41

222326

34

4640

46

40

16

50

4238

4445

44

3939384034

50

17

72218

1 50RankMeasure Names

Prov avZA avInd Value

Mopani: DC33

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

Prof

iles

TB DS client lost tofollow up rate [bothsexes all ages |ETR/Tier.Net]

TB DS death rate[both sexes allages |ETR/Tier.Net]

TB symptom 5years and olderscreened in facilityrate [both sexes |DHIS]

TB symptom childunder 5 yearsscreened in facilityrate [both sexes |DHIS]

2_2_

HIV

trea

tmen

t

Adult with viralload suppressedrate 12 months[both sexes 15+years | DHIS]

Child with viralload suppressedrate 12 months[both sexes 0-14years | DHIS]

Clients remainingon ART rate [bothsexes all ages |DHIS]

UC

6

Antiretroviraleffective coverage[both sexes 0-14years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes 15+years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes allages | DHIS-Tier]

4

6

8

10

8

10

12

0

50

100

60

70

80

85

90

50

60

60

70

80

20

25

30

40

50

40

50

4

6

8

10

8

10

12

0

50

100

60

70

80

85

90

50

60

60

70

80

20

25

30

40

50

40

50

14

12

77

45

43

45

45

17148

11

34

29

28

3036

39

36

42

41

43

38

99

99

31

16

8

18

342

2

434

2

Section B: National and District Profiles

415

Section B: Profile Limpopo Province

415

Annual trends, 2015/16–2019/20

Page 4: 14 Limpopo Province

Mopani: DC33

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

UC

9

Age-standardisedprevalence ofnon-raised bloodpressure (index)[both sexes 15+years | NiDSmodelled]

3_2_

Dia

bete

sm

anag

emen

t

Diabetesprevalence [bothsexes 15+ years |NiDS modelled]

UC

10

Diabetes treatmentcoverage [bothsexes 15+ years |NiDS modelled]

3_3_

Can

cer d

etec

tion

Cervical cancerscreeningcoverage [female |DHIS]

UC

12

Tobacconon-smokingprevalence (index)[both sexes 15+years | NiDSmodelled]

4_1_

Faci

lity

acce

ssin

patie

nt

Hospital beds per10 000 targetpopulation [ | DHIS2000-2030 publicsector]

4_2_

Hea

lth w

orke

r den

sity

Medicalpractitioners per100 000 population[both sexes | publicsector]

Pharmacists per100 000 population[both sexes | publicsector]

Professionalnurses per 100000 population[both sexes | publicsector]

4_3_

Acce

ss P

HC

and

med

icin

es

Percentage Idealclinics [ | IC status]

78

80

82

84

5

10

36

38

40

35

40

45

82

84

86

88

1112131415161718

20

30

8

10

12

150

160

170

180

0

20

40

78

80

82

84

5

10

36

38

40

35

40

45

82

84

86

88

1112131415161718

20

30

8

10

12

150

160

170

180

0

20

40

2220

2018

1616

26

18

128

21

1918

1714

1414

41

27

2926

35

23

888999

35344034

40

47

44404545

4341

4140

2423

19

11

5252

51523511

Mopani: DC33

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

4_5_

Fina

nce

Expenditure perpatient dayequivalent (districthospitals) [ | BASreal 2019/20prices]

Provincial & LGDistrict HealthServicesexpenditure percapita (uninsured) [| BAS real 2019/20prices]

Provincial & LGPHC expenditureper capita(uninsured) [ | BASreal 2019/20prices]

Provincial & LGPHC expenditureper PHCheadcount [ | BASreal 2019/20prices]

Burd

en o

f dis

ease

Percentage ofdeaths garbagecodes [both sexesall ages | vitalregistration]

Percentage ofdeaths ill-defined[both sexes allages | vitalregistration]

Percentage ofYLLs due tocommunicable,maternal, perinatal,nutrition causes[both sexes | vitalregistration]

Percentage ofYLLs due to HIVand TB [bothsexes | vitalregistration]

Percentage ofYLLs due toinjuries [both sexes| vital registration]

Percentage ofYLLs due tonon-communicablediseases [bothsexes | vitalregistration]

26002700280029003000310032003300

1800

2000

2200

2400

900

1000

1100

1200

300

400

500

10

12

10

15

20

20

25

30

20

22

24

26

12

14

35

40

45

26002700280029003000310032003300

1800

2000

2200

2400

900

1000

1100

1200

300

400

500

10

12

10

15

20

20

25

30

20

22

24

26

12

14

35

40

45

17

14

27

47

42

18

5050

52

14

21

14

453

1814

10

416

Section B: National and District Profiles

416

Section B: Profile Limpopo Province

Page 5: 14 Limpopo Province

AgeGrp

2000/01 2010/11 2020/21

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

65+

60-64 years

55-59 years

50-54 years

45-49 years

40-44 years

35-39 years

30-34 years

25-29 years

20-24 years

15-19 years

10-14 years

05-09 years

00-04 years

4.3%

1.7%

2.3%

2.7%

3.2%

3.2%

4.0%

4.6%

6.1%

7.5%

7.6%

6.1%

1.6%

1.3%

1.5%

2.0%

2.1%

2.7%

3.6%

6.1%

7.4%

7.5%

6.1%

3.5%

1.3%

1.8%

2.2%

2.6%

2.8%

3.5%

3.8%

4.1%

5.2%

6.2%

5.8%

5.4%

6.0%

1.5%

1.5%

1.9%

2.4%

2.9%

3.7%

5.0%

6.2%

5.9%

5.6%

6.2%

4.2%

1.8%

2.1%

2.4%

3.0%

3.3%

3.7%

4.3%

4.1%

3.8%

4.4%

5.2%

5.6%

5.4%

1.8%

1.5%

2.0%

2.6%

3.3%

3.9%

4.0%

3.9%

4.7%

5.5%

5.8%

5.6%

District % population by age-gender group compared to South Africa

LP, Vhembe DM (DC34)

Sexfemalemale

Gender (ZA)female (ZA)male (ZA)

Section B: National and District Profiles

417

Section B: Profile Limpopo Province

417

Vhembe District Municipality (DC34)

The Vhembe District Municipalityc is a Category C municipality located in the northern part of the Limpopo Province. It shares borders with Zimbabwe and Botswana in the north-west and Mozambique in the south-east through the Kruger National Park. It comprises four local municipalities: Musina, Thulamela, Makhado and Collins Chabane.

Cities/Towns: Makhado, Malamulele, Musina, Thohoyandou

Area: 25 596km²

Population (2019)d: 1 477 702

District percentage population by age-gender group compared to South Africa

Burden of disease profile

For the percentage of deaths by broad cause, deaths are classified into four groups, namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal, perinatal and nutritional conditions. Data are given by gender and age group for the period 2012–2017. The second part of the graph shows the 10 leading single causes of death within each age group and by gender for 2012–2017.

c Available from: https://municipalities.co.za/overview/129/vhembe-district-municipality.

d Mid-year Population Estimates 2019, Stats SA.

Page 6: 14 Limpopo Province

AgeGrp Female Male<5 years

5-1415-2425-64

65+Total 24%

17%21%24%

32%71%

17%3%

32%31%

24%11%

55%77%

42%22%23%

12%

5%2%5%

22%21%

6%

23%16%17%

14%33%

72%

21%8%

33%15%

23%9%

44%72%

36%17%

18%12%

12%4%

15%54%

27%7%

LP, Vhembe DM: DC34, 2012 - 2017

Rank Female Male

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Accidental threats to breathing (2.2%)

Poisonings (including herbal) (2.3%)

Lower respiratory infections (14.4%)Protein-energy malnutrition (15.8%)

Preterm birth complications (8.8%)

Diarrhoeal diseases (18.8%)

Birth asphyxia (6.3%)

Tuberculosis (2.3%)

Septicaemia (2.4%)

HIV/AIDS (8.9%)

Accidental threats to breathing (7.7%)Lower respiratory infections (10.5%)

Meningitis/encephalitis (3.4%)Fires, hot substances (3.3%)

Diarrhoeal diseases (11.3%)Tuberculosis (12.9%)

Road injuries (6.9%)

Septicaemia (3.8%)

HIV/AIDS (13.3%)

Epilepsy (4.7%)

Endocrine nutritional,blood, immune (3.4%)

Accidental threats to breathing (8.1%)Lower respiratory infections (8.3%)

Meningitis/encephalitis (2.8%)Interpersonal violence (3.2%)

Diarrhoeal diseases (5.3%)

Diabetes mellitus (2.4%)

Tuberculosis (13.6%)

Road injuries (6.7%)

HIV/AIDS (19.4%)

Endocrine nutritional,blood, immune (3.7%)

Lower respiratory infections (8.0%)

Hypertensive heart disease (3.2%)

Cerebrovascular disease (4.7%)

Diarrhoeal diseases (7.2%)

Nephritis/nephrosis (4.4%)

Diabetes mellitus (6.8%)

Tuberculosis (13.4%)HIV/AIDS (18.2%)

Cervix (4.6%)

Endocrine nutritional,blood, immune (3.4%)

Hypertensive heart disease (12.4%)Lower respiratory infections (7.3%)

Cerebrovascular disease (17.7%)

Ischaemic heart disease (2.8%)

Diarrhoeal diseases (5.4%)Nephritis/nephrosis (5.5%)

Diabetes mellitus (12.7%)

Septicaemia (3.3%)Cervix (2.9%)

Accidental threats to breathing (2.2%)Poisonings (including herbal) (2.0%)

Lower respiratory infections (12.5%)Protein-energy malnutrition (15.5%)

Preterm birth complications (9.2%)

Other perinatal conditions (3.0%)

Diarrhoeal diseases (19.3%)

Birth asphyxia (7.3%)

Septicaemia (2.4%)

HIV/AIDS (7.0%)

Endocrine nutritional,blood, immune (2.9%)

Accidental threats to breathing (3.9%)

Lower respiratory infections (6.2%)Meningitis/encephalitis (4.4%)

Diarrhoeal diseases (11.5%)

Road injuries (7.5%)Tuberculosis (8.1%)

HIV/AIDS (15.7%)Drowning (12.4%)

Malaria (3.5%)

Accidental threats to breathing (20.2%)

Lower respiratory infections (3.5%)Meningitis/encephalitis (4.7%)

Interpersonal violence (7.9%)

Mechanical forces (2.6%)

Road injuries (16.0%)

Tuberculosis (7.2%)

HIV/AIDS (8.0%)

Drowning (5.7%)

Epilepsy (3.2%)

Endocrine nutritional,blood, immune (3.0%)

Accidental threats to breathing (4.2%)

Lower respiratory infections (7.2%)

Cerebrovascular disease (4.0%)

Diarrhoeal diseases (5.0%)

Nephritis/nephrosis (3.8%)

Diabetes mellitus (5.0%)

Tuberculosis (16.5%)

Road injuries (4.8%)

HIV/AIDS (16.4%)

Endocrine nutritional,blood, immune (2.8%)

Lower respiratory infections (8.8%)Hypertensive heart disease (9.3%)

Cerebrovascular disease (11.5%)

Diarrhoeal diseases (3.8%)

Nephritis/nephrosis (7.3%)

Diabetes mellitus (10.8%)

Tuberculosis (5.5%)

HIV/AIDS (2.8%)

Prostate (5.1%)

Rank Maternal conditions All other causes

Fem

ale

15-4

9

12345678910

Maternal haemorrhage (16.0%) n=25Abortion (15.9%) n=25

Hypertension in pregnancy (20.4%) n=32Other maternal (28.5%) n=44

Indirect maternal (19.2%) n=30

Nephritis/nephrosis (4.1%) n=334

Diabetes mellitus (2.8%) n=230Road injuries (2.5%) n=204

Cervix (3.4%) n=278

Cerebrovascular disease (2.3%) n=187

Endocrine nutritional,blood, immune (4.0%) n=324

Diarrhoeal diseases (8.3%) n=677Lower respiratory infections (8.7%) n=713

Tuberculosis (16.6%) n=1 355HIV/AIDS (22.8%) n=1 861

Percentage ofdeaths by broad

causes andsingle leading

causes

BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut

Prov, DistrictLP, Vhembe DM: DC34

Show history

Percentages are shownaccording to all the deaths

within the age/gendercategory of each box,

although only the leading10 causes are displayed.

418

Section B: National and District Profiles

418

Section B: Profile Limpopo Province

Percentage of deaths by broad cause and leading causes, 2012–2017

Page 7: 14 Limpopo Province

Vhembe: DC34

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

1_1_

Fam

ily p

lann

ing

Couple yearprotection rate [ |DHIS]

1_2_

Preg

nanc

y an

d de

liver

y ca

re

Antenatal 1st visitcoverage [female |DHIS]

Delivery in 10 to 19years in facility rate[female | DHIS]

Maternal mortalityin facility ratio[female | DHIS]

Neonatal death infacility rate [bothsexes | DHIS]

1_3_

Chi

ld im

mun

isat

ion

Immunisationunder 1 yearcoverage [bothsexes | DHIS]

1_4_

Chi

ld tr

eatm

ent

Death in facilityunder 5 years rate[both sexes |DHIS]

Pneumonia casefatality under 5years rate [bothsexes <5 years |DHIS]

2_1_

TB tr

eatm

ent

TB DS treatmentsuccess rate [bothsexes all ages |ETR/Tier.Net]

50

60

70

80

75

80

85

90

13

14

15

16

50

100

150

10

12

14

60

70

80

90

4

5

6

7

8

1

2

3

4

75

80

85

50

60

70

80

75

80

85

90

13

14

15

16

50

100

150

10

12

14

60

70

80

90

4

5

6

7

8

1

2

3

4

75

80

85

41

3324

19

2824

21

29232117

17

3227

31

242218

139

17

2121

910

18

363433

33

18

13

22182022

34

17

15

26

1627

25

32

48

312

32

1 48RankMeasure Names

Prov avZA avInd Value

Vhembe: DC34

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

Prof

iles

TB DS client lost tofollow up rate [bothsexes all ages |ETR/Tier.Net]

TB DS death rate[both sexes allages |ETR/Tier.Net]

TB symptom 5years and olderscreened in facilityrate [both sexes |DHIS]

TB symptom childunder 5 yearsscreened in facilityrate [both sexes |DHIS]

2_2_

HIV

trea

tmen

t

Adult with viralload suppressedrate 12 months[both sexes 15+years | DHIS]

Child with viralload suppressedrate 12 months[both sexes 0-14years | DHIS]

Clients remainingon ART rate [bothsexes all ages |DHIS]

UC

6

Antiretroviraleffective coverage[both sexes 0-14years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes 15+years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes allages | DHIS-Tier]

4

6

8

10

6

8

10

12

0

50

100

60

80

80

85

90

50

60

60

70

80

90

171819202122232425

40

50

40

50

4

6

8

10

6

8

10

12

0

50

100

60

80

80

85

90

50

60

60

70

80

90

171819202122232425

40

50

40

50

30

10

8

43

25

12

2533

2328

2721

38

38

38

3746

46

45

33

33

46

49

42

25

29

17

39

34

108

15

23

11

8

16

24

Section B: National and District Profiles

419

Section B: Profile Limpopo Province

419

Annual trends, 2015/16–2019/20

Page 8: 14 Limpopo Province

Vhembe: DC34

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

UC

9

Age-standardisedprevalence ofnon-raised bloodpressure (index)[both sexes 15+years | NiDSmodelled]

3_2_

Dia

bete

sm

anag

emen

t

Diabetesprevalence [bothsexes 15+ years |NiDS modelled]

UC

10

Diabetes treatmentcoverage [bothsexes 15+ years |NiDS modelled]

3_3_

Can

cer d

etec

tion

Cervical cancerscreeningcoverage [female |DHIS]

UC

12

Tobacconon-smokingprevalence (index)[both sexes 15+years | NiDSmodelled]

4_1_

Faci

lity

acce

ssin

patie

nt

Hospital beds per10 000 targetpopulation [ | DHIS2000-2030 publicsector]

4_2_

Hea

lth w

orke

r den

sity

Medicalpractitioners per100 000 population[both sexes | publicsector]

Pharmacists per100 000 population[both sexes | publicsector]

Professionalnurses per 100000 population[both sexes | publicsector]

4_3_

Acce

ss P

HC

and

med

icin

es

Percentage Idealclinics [ | IC status]

78

80

82

84

5

10

15

20

3536373839404142

30

40

8283848586878889

12

14

16

18

20

30

8

10

12

140

160

180

200

220

0

20

40

78

80

82

84

5

10

15

20

3536373839404142

30

40

8283848586878889

12

14

16

18

20

30

8

10

12

140

160

180

200

220

0

20

40

87

75

56

46

4339

3633

30

8

11

14

20

24

31

48

433836

37

43

77781011

37393941

45

38

45414341

42433936

95

3

3

50

4539

452011

Vhembe: DC34

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

4_5_

Fina

nce

Expenditure perpatient dayequivalent (districthospitals) [ | BASreal 2019/20prices]

Provincial & LGDistrict HealthServicesexpenditure percapita (uninsured) [| BAS real 2019/20prices]

Provincial & LGPHC expenditureper capita(uninsured) [ | BASreal 2019/20prices]

Provincial & LGPHC expenditureper PHCheadcount [ | BASreal 2019/20prices]

Burd

en o

f dis

ease

Percentage ofdeaths garbagecodes [both sexesall ages | vitalregistration]

Percentage ofdeaths ill-defined[both sexes allages | vitalregistration]

Percentage ofYLLs due tocommunicable,maternal, perinatal,nutrition causes[both sexes | vitalregistration]

Percentage ofYLLs due to HIVand TB [bothsexes | vitalregistration]

Percentage ofYLLs due toinjuries [both sexes| vital registration]

Percentage ofYLLs due tonon-communicablediseases [bothsexes | vitalregistration]

2800

3000

3200

3400

1800

2000

2200

2400

2600

900

1000

1100

1200

400

500

10

12

20

30

20

25

2021222324252627

12

14

35

40

45

2800

3000

3200

3400

1800

2000

2200

2400

2600

900

1000

1100

1200

400

500

10

12

20

30

20

25

2021222324252627

12

14

35

40

45

29

24

7

525250

4546

44

139

22

69

5

3029

18

420

Section B: National and District Profiles

420

Section B: Profile Limpopo Province

Page 9: 14 Limpopo Province

AgeGrp

2000/01 2010/11 2020/21

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

65+

60-64 years

55-59 years

50-54 years

45-49 years

40-44 years

35-39 years

30-34 years

25-29 years

20-24 years

15-19 years

10-14 years

05-09 years

00-04 years

3.7%

1.5%

1.5%

1.9%

2.3%

2.5%

3.2%

3.2%

3.6%

4.0%

6.0%

7.4%

7.2%

5.9%

1.9%

1.3%

1.6%

1.7%

2.1%

2.2%

2.6%

3.4%

6.2%

7.5%

7.4%

6.1%

4.0%

1.6%

1.9%

2.1%

2.6%

2.8%

3.1%

3.3%

3.9%

4.9%

6.0%

5.8%

5.5%

5.9%

2.0%

1.4%

1.7%

1.9%

2.3%

2.7%

3.6%

4.9%

6.3%

6.0%

5.6%

6.1%

5.2%

1.8%

2.2%

2.4%

2.7%

2.9%

3.5%

4.0%

3.7%

3.6%

4.5%

5.4%

5.6%

5.3%

2.5%

1.3%

1.6%

2.0%

2.5%

3.3%

3.8%

3.8%

3.8%

4.8%

5.6%

5.8%

5.5%

District % population by age-gender group compared to South Africa

LP, Capricorn DM (DC35)

Sexfemalemale

Gender (ZA)female (ZA)male (ZA)

Section B: National and District Profiles

421

Section B: Profile Limpopo Province

421

Capricorn District Municipality (DC35)

The Capricorn District Municipalitye is a Category C municipality situated in the Limpopo Province. It forms a gateway to Botswana, Zimbabwe and Mozambique, and consists of the following four local municipalities: Blouberg, Lepelle-Nkumpi, Molemole and Polokwane.

Cities/Towns: Alldays, Dendron, Morebeng (Soekmekaar), Polokwane, Senwabarwana (Bochum), Zebediela

Area: 21 705km²

Population (2019)f: 1 350 111

District percentage population by age-gender group compared to South Africa

Burden of disease profile

For the percentage of deaths by broad cause, deaths are classified into four groups, namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal, perinatal and nutritional conditions. Data are given by gender and age group for the period 2012–2017. The second part of the graph shows the 10 leading single causes of death within each age group and by gender for 2012–2017.

e Available from: https://municipalities.co.za/overview/126/capricorn-district-municipality.

f Mid-year Population Estimates 2019, Stats SA.

Page 10: 14 Limpopo Province

AgeGrp Female Male<5 years

5-1415-2425-64

65+Total 25%

18%20%

31%36%

74%

18%3%

33%29%

15%6%

53%77%

41%23%

33%14%

5%2%

5%17%16%

6%

22%17%16%

13%31%

74%

19%7%

30%10%

15%5%

45%72%

37%21%

30%15%

14%4%

17%56%

23%7%

LP, Capricorn DM: DC35, 2012 - 2017

Rank Female Male

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Sepsis/other newborn infectious (3.4%)

Lower respiratory infections (23.3%)

Preterm birth complications (9.5%)

Protein-energy malnutrition (3.5%)

Other perinatal conditions (4.6%)

Meningitis/encephalitis (2.8%)

Diarrhoeal diseases (18.5%)

Birth asphyxia (5.7%)

Septicaemia (2.4%)

HIV/AIDS (4.3%)

Endocrine nutritional,blood, immune (2.9%)

Lower respiratory infections (16.5%)

Meningitis/encephalitis (3.5%)

Diarrhoeal diseases (11.7%)

Other neoplasms (3.7%)

Road injuries (11.0%)

Tuberculosis (8.0%)

Septicaemia (2.7%)

HIV/AIDS (8.1%)

Epilepsy (3.4%)

Endocrine nutritional,blood, immune (2.1%)

Accidental threats to breathing (3.1%)

Lower respiratory infections (11.0%)

Hypertension in pregnancy (2.8%)Meningitis/encephalitis (2.3%)

Diarrhoeal diseases (8.0%)

Other maternal (2.0%)

Road injuries (10.7%)Tuberculosis (10.3%)

HIV/AIDS (19.7%)

Endocrine nutritional,blood, immune (2.4%)

Lower respiratory infections (9.6%)

Hypertensive heart disease (5.5%)Cerebrovascular disease (4.0%)

Diarrhoeal diseases (6.2%)Diabetes mellitus (5.7%)

Tuberculosis (10.2%)

Road injuries (2.7%)

HIV/AIDS (23.1%)

Cervix (3.6%)

Endocrine nutritional,blood, immune (1.7%)

Lower respiratory infections (11.2%)

Hypertensive heart disease (20.8%)Cerebrovascular disease (15.3%)

Ischaemic heart disease (3.9%)Diarrhoeal diseases (5.0%)

Nephritis/nephrosis (2.5%)

Diabetes mellitus (11.4%)

Tuberculosis (1.5%)

Cervix (2.3%)

Sepsis/other newborn infectious (3.7%)

Poisonings (including herbal) (2.3%)

Lower respiratory infections (21.5%)

Preterm birth complications (10.5%)

Protein-energy malnutrition (3.7%)Other perinatal conditions (4.4%)

Meningitis/encephalitis (2.4%)

Diarrhoeal diseases (18.3%)

Birth asphyxia (6.6%)

HIV/AIDS (3.0%)

Endocrine nutritional,blood, immune (3.0%)

Lower respiratory infections (12.5%)

Meningitis/encephalitis (4.1%)

Diarrhoeal diseases (9.3%)Road injuries (11.1%)

Tuberculosis (8.3%)

Septicaemia (3.2%)

Leukaemia (4.4%)

HIV/AIDS (7.6%)Drowning (6.6%)

Accidental threats to breathing (11.6%)

Lower respiratory infections (5.4%)Interpersonal violence (10.9%)

Meningitis/encephalitis (2.7%)

Diarrhoeal diseases (3.2%)Mechanical forces (3.9%)

Road injuries (24.7%)

Tuberculosis (5.2%)HIV/AIDS (5.3%)

Epilepsy (3.0%)

Accidental threats to breathing (2.9%)

Lower respiratory infections (9.0%)

Hypertensive heart disease (5.2%)

Cerebrovascular disease (3.6%)

Diarrhoeal diseases (4.5%)

Nephritis/nephrosis (2.0%)

Diabetes mellitus (4.3%)

Tuberculosis (13.0%)

Road injuries (8.4%)

HIV/AIDS (17.1%)

Lower respiratory infections (11.0%)Hypertensive heart disease (16.1%)

Cerebrovascular disease (9.7%)

Ischaemic heart disease (4.2%)

Diarrhoeal diseases (4.1%)Nephritis/nephrosis (2.8%)

Diabetes mellitus (8.4%)Tuberculosis (5.1%)

Prostate (4.2%)

COPD (4.6%)

Rank Maternal conditions All other causes

Fem

ale

15-4

9

12345678910

Maternal sepsis (5.4%) n=21

Maternal haemorrhage (14.8%) n=59Abortion (9.6%) n=38

Hypertension in pregnancy (26.6%) n=106

Other maternal (21.8%) n=87Indirect maternal (21.9%) n=87

Diabetes mellitus (2.5%) n=298Hypertensive heart disease (2.4%) n=289

Road injuries (4.1%) n=495Cervix (2.8%) n=339

Cerebrovascular disease (1.9%) n=229

Endocrine nutritional,blood, immune (2.6%) n=311

Diarrhoeal diseases (7.2%) n=860Lower respiratory infections (11.5%) n=1 382

Tuberculosis (12.6%) n=1 516HIV/AIDS (29.5%) n=3 555

Percentage ofdeaths by broad

causes andsingle leading

causes

BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut

Prov, DistrictLP, Capricorn DM: DC35

Show history

Percentages are shownaccording to all the deaths

within the age/gendercategory of each box,

although only the leading10 causes are displayed.

422

Section B: National and District Profiles

422

Section B: Profile Limpopo Province

Percentage of deaths by broad cause and leading causes, 2012–2017

Page 11: 14 Limpopo Province

Capricorn: DC35

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

1_1_

Fam

ily p

lann

ing

Couple yearprotection rate [ |DHIS]

1_2_

Preg

nanc

y an

d de

liver

y ca

re

Antenatal 1st visitcoverage [female |DHIS]

Delivery in 10 to 19years in facility rate[female | DHIS]

Maternal mortalityin facility ratio[female | DHIS]

Neonatal death infacility rate [bothsexes | DHIS]

1_3_

Chi

ld im

mun

isat

ion

Immunisationunder 1 yearcoverage [bothsexes | DHIS]

1_4_

Chi

ld tr

eatm

ent

Death in facilityunder 5 years rate[both sexes |DHIS]

Pneumonia casefatality under 5years rate [bothsexes <5 years |DHIS]

2_1_

TB tr

eatm

ent

TB DS treatmentsuccess rate [bothsexes all ages |ETR/Tier.Net]

60

70

80

90

75

80

85

90

12.5

13.0

13.5

14.0

100

200

300

15

20

25

60

70

80

6

8

2

4

6

8

70

75

80

60

70

80

90

75

80

85

90

12.5

13.0

13.5

14.0

100

200

300

15

20

25

60

70

80

6

8

2

4

6

8

70

75

80

34

1914

14

2517

1514

7

10

14

20

151517

525052

52

5250

51

4950

51

52

39

4431

43

1915

40

374143

4942

51

5251

51

4138

139

43

48

1 52RankMeasure Names

Prov avZA avInd Value

Capricorn: DC35

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

Prof

iles

TB DS client lost tofollow up rate [bothsexes all ages |ETR/Tier.Net]

TB DS death rate[both sexes allages |ETR/Tier.Net]

TB symptom 5years and olderscreened in facilityrate [both sexes |DHIS]

TB symptom childunder 5 yearsscreened in facilityrate [both sexes |DHIS]

2_2_

HIV

trea

tmen

t

Adult with viralload suppressedrate 12 months[both sexes 15+years | DHIS]

Child with viralload suppressedrate 12 months[both sexes 0-14years | DHIS]

Clients remainingon ART rate [bothsexes all ages |DHIS]

UC

6

Antiretroviraleffective coverage[both sexes 0-14years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes 15+years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes allages | DHIS-Tier]

4

6

8

10

789

101112131415

0

50

100

60

70

80

90

85

90

55

60

65

60

70

80

20

25

40

50

40

50

4

6

8

10

789101112131415

0

50

100

60

70

80

90

85

90

55

60

65

60

70

80

20

25

40

50

40

50

7

1115

33

45

41

47

50

995

17

16169

2741

40

37

3242

39

43

1715

17

23

22

9

27

31

77

8

8

77

8

8

Section B: National and District Profiles

423

Section B: Profile Limpopo Province

423

Annual trends, 2015/16–2019/20

Page 12: 14 Limpopo Province

Capricorn: DC35

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

UC

9

Age-standardisedprevalence ofnon-raised bloodpressure (index)[both sexes 15+years | NiDSmodelled]

3_2_

Dia

bete

sm

anag

emen

t

Diabetesprevalence [bothsexes 15+ years |NiDS modelled]

UC

10

Diabetes treatmentcoverage [bothsexes 15+ years |NiDS modelled]

3_3_

Can

cer d

etec

tion

Cervical cancerscreeningcoverage [female |DHIS]

UC

12

Tobacconon-smokingprevalence (index)[both sexes 15+years | NiDSmodelled]

4_1_

Faci

lity

acce

ssin

patie

nt

Hospital beds per10 000 targetpopulation [ | DHIS2000-2030 publicsector]

4_2_

Hea

lth w

orke

r den

sity

Medicalpractitioners per100 000 population[both sexes | publicsector]

Pharmacists per100 000 population[both sexes | publicsector]

Professionalnurses per 100000 population[both sexes | publicsector]

4_3_

Acce

ss P

HC

and

med

icin

es

Percentage Idealclinics [ | IC status]

80

85

5

10

15

40

45

30

40

82

84

86

88

14

16

18

30

40

12

14

160

180

01020304050607080

80

85

5

10

15

40

45

30

40

82

84

86

88

14

16

18

30

40

12

14

160

180

01020304050607080

332222

35

33

24

2014

11

77

711

1219

5252

46

412727

181818161616

191919202124

8776

17

15

1615

14126

6

1923

29

35

3511

Capricorn: DC35

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

4_5_

Fina

nce

Expenditure perpatient dayequivalent (districthospitals) [ | BASreal 2019/20prices]

Provincial & LGDistrict HealthServicesexpenditure percapita (uninsured) [| BAS real 2019/20prices]

Provincial & LGPHC expenditureper capita(uninsured) [ | BASreal 2019/20prices]

Provincial & LGPHC expenditureper PHCheadcount [ | BASreal 2019/20prices]

Burd

en o

f dis

ease

Percentage ofdeaths garbagecodes [both sexesall ages | vitalregistration]

Percentage ofdeaths ill-defined[both sexes allages | vitalregistration]

Percentage ofYLLs due tocommunicable,maternal, perinatal,nutrition causes[both sexes | vitalregistration]

Percentage ofYLLs due to HIVand TB [bothsexes | vitalregistration]

Percentage ofYLLs due toinjuries [both sexes| vital registration]

Percentage ofYLLs due tonon-communicablediseases [bothsexes | vitalregistration]

3000

3500

1800

2000

2200

2400

900

1000

1100

1200

400

500

10

12

14

14

16

18

20

20

25

192021222324252627

12

13

14

15

35

40

45

3000

3500

1800

2000

2200

2400

900

1000

1100

1200

400

500

10

12

14

14

16

18

20

20

25

192021222324252627

12

13

14

15

35

40

45

894

4241

40

4645

48

11

1810

15

1011

2325

25

424

Section B: National and District Profiles

424

Section B: Profile Limpopo Province

Page 13: 14 Limpopo Province

AgeGrp

2000/01 2010/11 2020/21

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

65+

60-64 years

55-59 years

50-54 years

45-49 years

40-44 years

35-39 years

30-34 years

25-29 years

20-24 years

15-19 years

10-14 years

05-09 years

00-04 years

3.3%

1.5%

1.4%

1.8%

2.5%

2.7%

3.4%

3.4%

4.1%

4.1%

5.5%

6.3%

6.2%

5.8%

2.1%

1.6%

2.1%

2.5%

2.9%

3.0%

3.5%

3.6%

5.6%

6.4%

6.5%

5.9%

3.6%

1.5%

2.0%

2.2%

2.7%

2.9%

3.5%

3.7%

4.0%

4.4%

5.0%

5.1%

4.7%

5.2%

2.2%

1.6%

1.9%

2.3%

2.7%

3.4%

3.7%

4.6%

5.0%

5.3%

5.3%

4.7%

5.4%

4.5%

1.8%

2.2%

2.4%

2.9%

3.1%

3.6%

3.9%

3.6%

3.4%

3.6%

4.6%

5.0%

4.8%

2.5%

1.4%

1.8%

2.1%

2.8%

3.4%

4.4%

4.9%

4.6%

4.0%

3.9%

4.8%

5.2%

4.9%

District % population by age-gender group compared to South Africa

LP, Waterberg DM (DC36)

Sexfemalemale

Gender (ZA)female (ZA)male (ZA)

Section B: National and District Profiles

425

Section B: Profile Limpopo Province

425

Waterberg District Municipality (DC36)

The Waterberg District Municipalityg is a Category C municipality located in the western part of the Limpopo Province. It shares its five border-control points with Botswana, and comprises five local municipalities: Bela-Bela, Lephalale, Modimolle-Mookgophong, Mogalakwena and Thabazimbi. 

Cities/Towns:  Amandelbult Mine Town, Bela-Bela, Lephalale, Modimolle, Mokopane (Potgietersrus), Mookgophong (Naboomspruit), Pienaarsrivier, Thabazimbi, Vaalwater

Area: 44 913km²

Population (2019)h: 725 473

District percentage population by age-gender group compared to South Africa

Burden of disease profile

For the percentage of deaths by broad cause, deaths are classified into four groups, namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal, perinatal and nutritional conditions. Data are given by gender and age group for the period 2012–2017. The second part of the graph shows the 10 leading single causes of death within each age group and by gender for 2012–2017.

g Available from: https://municipalities.co.za/overview/130/waterberg-district-municipality.

h Mid-year Population Estimates 2019, Stats SA.

Page 14: 14 Limpopo Province

AgeGrp Female Male<5 years

5-1415-2425-64

65+Total 22%

15%17%

22%35%

73%

23%4%

39%37%

23%9%

49%79%

37%20%

19%10%

6%2%

7%20%22%

8%

20%15%14%14%

32%78%

23%7%

35%19%

16%7%

42%75%

32%16%

19%7%

15%3%

18%50%

33%8%

LP, Waterberg DM: DC36, 2012 - 2017

Rank Female Male

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Poisonings (including herbal) (3.2%)

Lower respiratory infections (19.7%)Preterm birth complications (11.3%)

Protein-energy malnutrition (5.8%)

Other perinatal conditions (2.7%)

Meningitis/encephalitis (4.5%)

Diarrhoeal diseases (20.8%)

Birth asphyxia (6.0%)

Tuberculosis (2.6%)

HIV/AIDS (6.6%)

Endocrine nutritional,blood, immune (2.8%)Accidental threats to breathing (2.7%)

Lower respiratory infections (15.3%)

Meningitis/encephalitis (4.7%)

Diarrhoeal diseases (14.1%)

Other respiratory (3.9%)

Road injuries (17.6%)

Tuberculosis (13.5%)

HIV/AIDS (14.9%)

Epilepsy (3.0%)

Endocrine nutritional,blood, immune (2.7%)Accidental threats to breathing (2.7%)

Poisonings (including herbal) (2.0%)

Lower respiratory infections (9.9%)

Meningitis/encephalitis (2.7%)Diarrhoeal diseases (7.2%)

Road injuries (13.6%)Tuberculosis (16.9%)

HIV/AIDS (23.3%)

Epilepsy (1.8%)

Endocrine nutritional,blood, immune (2.6%)

Lower respiratory infections (8.3%)Hypertensive heart disease (5.7%)

Cerebrovascular disease (4.4%)

Diarrhoeal diseases (5.0%)Diabetes mellitus (4.6%)

Tuberculosis (14.8%)

Road injuries (4.4%)

HIV/AIDS (24.6%)

Cervix (2.7%)

Endocrine nutritional,blood, immune (1.6%)

Hypertensive heart disease (22.7%)

Lower respiratory infections (7.8%)

Cerebrovascular disease (14.7%)

Ischaemic heart disease (6.7%)Diarrhoeal diseases (5.1%)

Nephritis/nephrosis (2.9%)

Diabetes mellitus (10.3%)

Tuberculosis (2.3%)Cervix (2.2%)

Poisonings (including herbal) (3.1%)

Lower respiratory infections (18.7%)Preterm birth complications (14.7%)

Protein-energy malnutrition (6.3%)

Other perinatal conditions (3.7%)

Meningitis/encephalitis (4.7%)

Diarrhoeal diseases (20.9%)

Birth asphyxia (7.0%)

Tuberculosis (2.8%)

HIV/AIDS (4.4%)

Accidental threats to breathing (2.4%)

Lower respiratory infections (9.7%)

Meningitis/encephalitis (3.8%)Fires, hot substances (3.5%)

Diarrhoeal diseases (16.2%)Road injuries (17.2%)

Tuberculosis (7.9%)

HIV/AIDS (11.0%)Drowning (10.7%)

Epilepsy (4.6%)

Accidental threats to breathing (12.4%)

Lower respiratory infections (6.9%)

Meningitis/encephalitis (2.7%)

Interpersonal violence (8.5%)

Diarrhoeal diseases (3.8%)

Road injuries (22.9%)

Tuberculosis (9.2%)HIV/AIDS (11.3%)

Drowning (2.6%)Epilepsy (2.2%)

Accidental threats to breathing (2.3%)

Lower respiratory infections (8.5%)Hypertensive heart disease (4.3%)

Cerebrovascular disease (3.1%)

Ischaemic heart disease (3.4%)Diarrhoeal diseases (3.4%)

Diabetes mellitus (2.8%)

Road injuries (11.0%)Tuberculosis (16.8%)HIV/AIDS (18.2%)

Hypertensive heart disease (14.2%)

Lower respiratory infections (9.1%)Cerebrovascular disease (9.3%)

Ischaemic heart disease (8.8%)

Diarrhoeal diseases (3.8%)Nephritis/nephrosis (3.6%)

Diabetes mellitus (7.5%)

Tuberculosis (4.8%)Prostate (4.4%)

COPD (5.2%)

Rank Maternal conditions All other causes

Fem

ale

15-4

9

12345678910

Maternal haemorrhage (6.2%) n=5Abortion (11.6%) n=9

Hypertension in pregnancy (21.9%) n=16

Other maternal (34.0%) n=25Indirect maternal (26.3%) n=19

Hypertensive heart disease (2.5%) n=136Meningitis/encephalitis (2.0%) n=112

Road injuries (6.2%) n=339

Cervix (2.0%) n=111Cerebrovascular disease (2.0%) n=111

Endocrine nutritional,blood, immune (2.9%) n=161Diarrhoeal diseases (5.4%) n=295

Lower respiratory infections (9.8%) n=537Tuberculosis (18.2%) n=1 000

HIV/AIDS (30.2%) n=1 656

Percentage ofdeaths by broad

causes andsingle leading

causes

BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut

Prov, DistrictLP, Waterberg DM: DC36

Show history

Percentages are shownaccording to all the deaths

within the age/gendercategory of each box,

although only the leading10 causes are displayed.

426

Section B: National and District Profiles

426

Section B: Profile Limpopo Province

Percentage of deaths by broad cause and leading causes, 2012–2017

Page 15: 14 Limpopo Province

Waterberg: DC36

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

1_1_

Fam

ily p

lann

ing

Couple yearprotection rate [ |DHIS]

1_2_

Preg

nanc

y an

d de

liver

y ca

re

Antenatal 1st visitcoverage [female |DHIS]

Delivery in 10 to 19years in facility rate[female | DHIS]

Maternal mortalityin facility ratio[female | DHIS]

Neonatal death infacility rate [bothsexes | DHIS]

1_3_

Chi

ld im

mun

isat

ion

Immunisationunder 1 yearcoverage [bothsexes | DHIS]

1_4_

Chi

ld tr

eatm

ent

Death in facilityunder 5 years rate[both sexes |DHIS]

Pneumonia casefatality under 5years rate [bothsexes <5 years |DHIS]

2_1_

TB tr

eatm

ent

TB DS treatmentsuccess rate [bothsexes all ages |ETR/Tier.Net]

60

80

100

80

90

100

110

13.0

13.5

14.0

50

100

150

12

14

60

70

80

4

6

8

1

2

3

4

747576777879808182

60

80

100

80

90

100

110

13.0

13.5

14.0

50

100

150

12

14

60

70

80

4

6

8

1

2

3

4

747576777879808182

15

13

25

15

20

34

23

24

23

20

25

21

30242415

28

373633

19

39

2724

20

34

17

40

27242629

42

40

39

15

2231

39

37

14

2837

43

1 43RankMeasure Names

Prov avZA avInd Value

Waterberg: DC36

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

Prof

iles

TB DS client lost tofollow up rate [bothsexes all ages |ETR/Tier.Net]

TB DS death rate[both sexes allages |ETR/Tier.Net]

TB symptom 5years and olderscreened in facilityrate [both sexes |DHIS]

TB symptom childunder 5 yearsscreened in facilityrate [both sexes |DHIS]

2_2_

HIV

trea

tmen

t

Adult with viralload suppressedrate 12 months[both sexes 15+years | DHIS]

Child with viralload suppressedrate 12 months[both sexes 0-14years | DHIS]

Clients remainingon ART rate [bothsexes all ages |DHIS]

UC

6

Antiretroviraleffective coverage[both sexes 0-14years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes 15+years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes allages | DHIS-Tier]

4

6

8

10

8

10

12

0

50

100

60

70

80

90

80

85

90

50

60

60

70

80

10

15

20

25

40

50

60

30

40

50

4

6

8

10

8

10

12

0

50

100

60

70

80

90

80

85

90

50

60

60

70

80

10

15

20

25

40

50

60

30

40

50

921

22

34

4348

49

48

111214

34

1717

19

31

49

47

47

3646

49

51

67

8

10

16

34

25

47

2

10

21

25

2

11

23

25

Section B: National and District Profiles

427

Section B: Profile Limpopo Province

427

Annual trends, 2015/16–2019/20

Page 16: 14 Limpopo Province

Waterberg: DC36

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

UC

9

Age-standardisedprevalence ofnon-raised bloodpressure (index)[both sexes 15+years | NiDSmodelled]

3_2_

Dia

bete

sm

anag

emen

t

Diabetesprevalence [bothsexes 15+ years |NiDS modelled]

UC

10

Diabetes treatmentcoverage [bothsexes 15+ years |NiDS modelled]

3_3_

Can

cer d

etec

tion

Cervical cancerscreeningcoverage [female |DHIS]

UC

12

Tobacconon-smokingprevalence (index)[both sexes 15+years | NiDSmodelled]

4_1_

Faci

lity

acce

ssin

patie

nt

Hospital beds per10 000 targetpopulation [ | DHIS2000-2030 publicsector]

4_2_

Hea

lth w

orke

r den

sity

Medicalpractitioners per100 000 population[both sexes | publicsector]

Pharmacists per100 000 population[both sexes | publicsector]

Professionalnurses per 100000 population[both sexes | publicsector]

4_3_

Acce

ss P

HC

and

med

icin

es

Percentage Idealclinics [ | IC status]

78

80

82

84

5

10

25

30

35

40

35

40

45

82

84

86

88

14

16

18

25

30

35

11

12

13

150

160

170

180

0

20

40

78

80

82

84

5

10

25

30

35

40

35

40

45

82

84

86

88

14

16

18

25

30

35

11

12

13

150

160

170

180

0

20

40

24231915117

7910101216

4746

4542

4035

36

4033

35

3629

91011121212

242528282628

221715

13

191817

14

232118

10

4344

4848

13

10

Waterberg: DC36

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

4_5_

Fina

nce

Expenditure perpatient dayequivalent (districthospitals) [ | BASreal 2019/20prices]

Provincial & LGDistrict HealthServicesexpenditure percapita (uninsured) [| BAS real 2019/20prices]

Provincial & LGPHC expenditureper capita(uninsured) [ | BASreal 2019/20prices]

Provincial & LGPHC expenditureper PHCheadcount [ | BASreal 2019/20prices]

Burd

en o

f dis

ease

Percentage ofdeaths garbagecodes [both sexesall ages | vitalregistration]

Percentage ofdeaths ill-defined[both sexes allages | vitalregistration]

Percentage ofYLLs due tocommunicable,maternal, perinatal,nutrition causes[both sexes | vitalregistration]

Percentage ofYLLs due to HIVand TB [bothsexes | vitalregistration]

Percentage ofYLLs due toinjuries [both sexes| vital registration]

Percentage ofYLLs due tonon-communicablediseases [bothsexes | vitalregistration]

3000

3500

4000

2000

2500

3000

900

1000

1100

1200

400

500

10

12

10

15

20

20

25

202122232425262728

12

14

16

35

40

45

3000

3500

4000

2000

2500

3000

900

1000

1100

1200

400

500

10

12

10

15

20

20

25

202122232425262728

12

14

16

35

40

45

1313

20

1718

7

4444

46

3833

29

13

45

26

6

2

7

428

Section B: National and District Profiles

428

Section B: Profile Limpopo Province

Page 17: 14 Limpopo Province

AgeGrp

2000/01 2010/11 2020/21

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

65+

60-64 years

55-59 years

50-54 years

45-49 years

40-44 years

35-39 years

30-34 years

25-29 years

20-24 years

15-19 years

10-14 years

05-09 years

00-04 years

3.8%

1.4%

1.6%

2.1%

2.4%

2.4%

3.0%

2.9%

3.4%

4.2%

6.5%

7.7%

7.6%

6.3%

1.9%

1.4%

1.4%

1.6%

1.8%

2.1%

3.1%

6.5%

7.8%

7.6%

6.4%

3.8%

1.6%

1.8%

1.9%

2.3%

2.4%

2.8%

3.5%

4.4%

5.5%

6.2%

5.9%

5.5%

6.3%

1.5%

1.4%

1.9%

2.7%

4.3%

5.5%

6.4%

6.1%

5.7%

6.5%

4.2%

1.5%

1.7%

1.8%

2.2%

2.8%

3.8%

4.6%

4.3%

4.1%

4.5%

5.6%

6.0%

5.9%

1.5%

2.3%

3.7%

4.5%

4.5%

4.2%

4.7%

5.9%

6.2%

6.1%

District % population by age-gender group compared to South Africa

LP, Sekhukhune DM (DC47)

Sexfemalemale

Gender (ZA)female (ZA)male (ZA)

Section B: National and District Profiles

429

Section B: Profile Limpopo Province

429

Sekhukhune District Municipality (DC47)

The Sekhukhune District Municipalityi is a Category C municipality located in the Limpopo Province, the northernmost part of South Africa. The district is the smallest in the province, making up 11% of its geographical area. It comprises four local municipalities: Elias Motsoaledi, Ephraim Mogale, Makhuduthamaga and Fetakgomo – Greater Tubatse.

Cities/Towns: Burgersfort, Groblersdal, Marble Hall, Ohrigstad, Roossenekal, Schuinsdraai Nature Reserve, Steelpoort

Area: 13 528km²

Population (2019)j: 1 252 729

District percentage population by age-gender group compared to South Africa

Burden of disease profile

For the percentage of deaths by broad cause, deaths are classified into four groups, namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal, perinatal and nutritional conditions. Data are given by gender and age group for the period 2012–2017. The second part of the graph shows the 10 leading single causes of death within each age group and by gender for 2012–2017.

i Available from: https://municipalities.co.za/overview/127/sekhukhune-district-municipality.

j Mid-year Population Estimates 2019, Stats SA.

Page 18: 14 Limpopo Province

AgeGrp Female Male<5 years

5-1415-2425-64

65+Total 31%

27%27%32%

44%76%

19%3%

35%31%

12%7%

46%68%

33%20%

20%11%

4%2%

4%17%

23%6%

29%25%24%21%

43%76%

19%6%

30%10%

14%7%

39%65%

30%19%

14%9%

13%3%

16%50%

29%8%

LP, Sekhukhune DM: DC47, 2012 - 2017

Rank Female Male

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Poisonings (including herbal) (2.0%)

Lower respiratory infections (25.2%)Preterm birth complications (7.5%)

Protein-energy malnutrition (6.1%)

Other perinatal conditions (1.5%)

Meningitis/encephalitis (2.0%)

Diarrhoeal diseases (25.4%)

Birth asphyxia (4.3%)Septicaemia (3.0%)

HIV/AIDS (5.5%)

Accidental threats to breathing (4.1%)

Lower respiratory infections (19.3%)

Hypertensive heart disease (2.7%)

Diarrhoeal diseases (17.9%)Road injuries (13.8%)

Tuberculosis (4.8%)Septicaemia (4.8%)

HIV/AIDS (8.6%)

Drowning (2.9%)Epilepsy (3.2%)

Endocrine nutritional,blood, immune (2.7%)Accidental threats to breathing (4.4%)

Lower respiratory infections (16.7%)

Meningitis/encephalitis (2.2%)

Diarrhoeal diseases (8.6%)

Diabetes mellitus (2.5%)

Tuberculosis (10.3%)Road injuries (8.6%)

Septicaemia (2.1%)

HIV/AIDS (22.2%)

Endocrine nutritional,blood, immune (2.3%)

Lower respiratory infections (15.4%)

Hypertensive heart disease (5.0%)

Cerebrovascular disease (4.9%)

Diarrhoeal diseases (6.8%)

Diabetes mellitus (5.0%)

Tuberculosis (11.0%)

Road injuries (2.3%)

HIV/AIDS (24.0%)

Cervix (2.4%)

Lower respiratory infections (15.6%)Hypertensive heart disease (17.2%)

Cerebrovascular disease (24.1%)

Ischaemic heart disease (2.1%)

Diarrhoeal diseases (6.7%)

Nephritis/nephrosis (1.7%)

Diabetes mellitus (7.7%)

Cardiomyopathy (2.2%)Septicaemia (3.1%)

Cervix (1.5%)

Poisonings (including herbal) (2.6%)

Lower respiratory infections (24.4%)Preterm birth complications (7.5%)

Protein-energy malnutrition (5.6%)

Other perinatal conditions (2.1%)

Diarrhoeal diseases (25.2%)

Birth asphyxia (5.0%)Septicaemia (3.0%)

HIV/AIDS (5.3%)

Drowning (2.1%)

Accidental threats to breathing (3.2%)

Lower respiratory infections (18.0%)

Meningitis/encephalitis (2.8%)

Diarrhoeal diseases (18.5%)

Road injuries (15.8%)

Tuberculosis (6.9%)Septicaemia (5.1%)

HIV/AIDS (8.4%)Drowning (9.5%)

Epilepsy (3.4%)

Accidental threats to breathing (13.2%)Lower respiratory infections (10.9%)

Interpersonal violence (4.9%)Diarrhoeal diseases (5.2%)

Mechanical forces (4.6%)

Road injuries (22.7%)

Tuberculosis (6.4%)

HIV/AIDS (4.3%)

Drowning (2.8%)Epilepsy (3.6%)

Accidental threats to breathing (2.7%)

Lower respiratory infections (14.4%)

Hypertensive heart disease (4.6%)Cerebrovascular disease (4.8%)Diarrhoeal diseases (5.5%)

Diabetes mellitus (3.5%)

Tuberculosis (12.9%)Road injuries (8.7%)

Septicaemia (2.1%)

HIV/AIDS (16.8%)

Lower respiratory infections (15.7%)Hypertensive heart disease (14.7%)

Cerebrovascular disease (16.2%)

Ischaemic heart disease (2.8%)

Diarrhoeal diseases (5.6%)Diabetes mellitus (6.9%)

Tuberculosis (4.3%)

Septicaemia (2.8%)

Prostate (2.9%)COPD (2.8%)

Rank Maternal conditions All other causes

Fem

ale

15-4

9

12345678910

Maternal haemorrhage (15.1%) n=17Abortion (13.2%) n=15

Hypertension in pregnancy (25.6%) n=29Other maternal (24.5%) n=28

Indirect maternal (21.6%) n=25

Septicaemia (2.1%) n=210Diabetes mellitus (2.2%) n=214Hypertensive heart disease (2.2%) n=216

Road injuries (3.2%) n=312

Cerebrovascular disease (2.3%) n=226Endocrine nutritional,blood, immune (2.4%) n=241

Diarrhoeal diseases (7.5%) n=738

Lower respiratory infections (16.9%) n=1 661Tuberculosis (13.3%) n=1 305

HIV/AIDS (29.4%) n=2 896

Percentage ofdeaths by broad

causes andsingle leading

causes

BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut

Prov, DistrictLP, Sekhukhune DM: DC47

Show history

Percentages are shownaccording to all the deaths

within the age/gendercategory of each box,

although only the leading10 causes are displayed.

430

Section B: National and District Profiles

430

Section B: Profile Limpopo Province

Percentage of deaths by broad cause and leading causes, 2012–2017

Page 19: 14 Limpopo Province

Sekhukhune: DC47

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FY 2

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019

FY 2

020

1_1_

Fam

ily p

lann

ing

Couple yearprotection rate [ |DHIS]

1_2_

Preg

nanc

y an

d de

liver

y ca

re

Antenatal 1st visitcoverage [female |DHIS]

Delivery in 10 to 19years in facility rate[female | DHIS]

Maternal mortalityin facility ratio[female | DHIS]

Neonatal death infacility rate [bothsexes | DHIS]

1_3_

Chi

ld im

mun

isat

ion

Immunisationunder 1 yearcoverage [bothsexes | DHIS]

1_4_

Chi

ld tr

eatm

ent

Death in facilityunder 5 years rate[both sexes |DHIS]

Pneumonia casefatality under 5years rate [bothsexes <5 years |DHIS]

2_1_

TB tr

eatm

ent

TB DS treatmentsuccess rate [bothsexes all ages |ETR/Tier.Net]

50

60

70

80

75

80

85

90

12

13

14

50

100

150

10

12

14

50

60

70

80

4

6

8

10

2

3

4

76

78

80

82

50

60

70

80

75

80

85

90

12

13

14

50

100

150

10

12

14

50

60

70

80

4

6

8

10

2

3

4

76

78

80

82

4547

1622

3735

1918

2115

21

22

1111

17

2016

9

2022

32

3837

14

11

12

504737

52

4852

3540

293436

45

322828

43

4440

201932

41

1 52RankMeasure Names

Prov avZA avInd Value

Sekhukhune: DC47

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

Prof

iles

TB DS client lost tofollow up rate [bothsexes all ages |ETR/Tier.Net]

TB DS death rate[both sexes allages |ETR/Tier.Net]

TB symptom 5years and olderscreened in facilityrate [both sexes |DHIS]

TB symptom childunder 5 yearsscreened in facilityrate [both sexes |DHIS]

2_2_

HIV

trea

tmen

t

Adult with viralload suppressedrate 12 months[both sexes 15+years | DHIS]

Child with viralload suppressedrate 12 months[both sexes 0-14years | DHIS]

Clients remainingon ART rate [bothsexes all ages |DHIS]

UC

6

Antiretroviraleffective coverage[both sexes 0-14years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes 15+years | DHIS-Tier]

Antiretroviraleffective coverage[both sexes allages | DHIS-Tier]

4

6

8

10

789

101112131415

0

50

100

60

80

85

90

50

60

60

70

80

15

20

25

40

50

40

50

4

6

8

10

789101112131415

0

50

100

60

80

85

90

50

60

60

70

80

15

20

25

40

50

40

50

1127

19

30

4744

5051

232125

42

21

34

39

29

47

42

43

38

4437

36

2018

1111

24

2436

45

1412

12

11

1512

14

12

Section B: National and District Profiles

431

Section B: Profile Limpopo Province

431

Annual trends, 2015/16–2019/20

Page 20: 14 Limpopo Province

Sekhukhune: DC47

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

UC

9

Age-standardisedprevalence ofnon-raised bloodpressure (index)[both sexes 15+years | NiDSmodelled]

3_2_

Dia

bete

sm

anag

emen

t

Diabetesprevalence [bothsexes 15+ years |NiDS modelled]

UC

10

Diabetes treatmentcoverage [bothsexes 15+ years |NiDS modelled]

3_3_

Can

cer d

etec

tion

Cervical cancerscreeningcoverage [female |DHIS]

UC

12

Tobacconon-smokingprevalence (index)[both sexes 15+years | NiDSmodelled]

4_1_

Faci

lity

acce

ssin

patie

nt

Hospital beds per10 000 targetpopulation [ | DHIS2000-2030 publicsector]

4_2_

Hea

lth w

orke

r den

sity

Medicalpractitioners per100 000 population[both sexes | publicsector]

Pharmacists per100 000 population[both sexes | publicsector]

Professionalnurses per 100000 population[both sexes | publicsector]

4_3_

Acce

ss P

HC

and

med

icin

es

Percentage Idealclinics [ | IC status]

78

80

82

84

5

10

15

20

30

40

30

35

40

45

85

90

95

12

14

16

18

20

30

9

10

11

12

140

160

180

0

20

40

78

80

82

84

5

10

15

20

30

40

30

35

40

45

85

90

95

12

14

16

18

20

30

9

10

11

12

140

160

180

0

20

40

171410965

34

29

23

1813

10

5148

41

34

19

12

49

41

2722

39

39

444444

464847464744

46464038

38

29

22

18

33323231

414236

472311

Sekhukhune: DC47

FY 2

015

FY 2

016

FY 2

017

FY 2

018

FY 2

019

FY 2

020

4_5_

Fina

nce

Expenditure perpatient dayequivalent (districthospitals) [ | BASreal 2019/20prices]

Provincial & LGDistrict HealthServicesexpenditure percapita (uninsured) [| BAS real 2019/20prices]

Provincial & LGPHC expenditureper capita(uninsured) [ | BASreal 2019/20prices]

Provincial & LGPHC expenditureper PHCheadcount [ | BASreal 2019/20prices]

Burd

en o

f dis

ease

Percentage ofdeaths garbagecodes [both sexesall ages | vitalregistration]

Percentage ofdeaths ill-defined[both sexes allages | vitalregistration]

Percentage ofYLLs due tocommunicable,maternal, perinatal,nutrition causes[both sexes | vitalregistration]

Percentage ofYLLs due to HIVand TB [bothsexes | vitalregistration]

Percentage ofYLLs due toinjuries [both sexes| vital registration]

Percentage ofYLLs due tonon-communicablediseases [bothsexes | vitalregistration]

2800

3000

3200

3400

1800

2000

2200

2400

800

1000

1200

400

500

8

10

12

14

10

15

20

20

25

30

192021222324252627

12

14

35

40

45

2800

3000

3200

3400

1800

2000

2200

2400

800

1000

1200

400

500

8

10

12

14

10

15

20

20

25

30

192021222324252627

12

14

35

40

45

233

2723

25

5151

50

9

19

18

77

4

129

11

432

Section B: National and District Profiles

432

Section B: Profile Limpopo Province