SectionSection B: National B: Profile and District Province Profiles

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-, Greater , Greater Letaba, Greater and Maruleng. Cities/Towns: Giyani, Gravelotte, , , , , Tzaneen Area: 20 011km² Population (2019)b: 1 238 398

DistrictDistrict % percentagepopulation by ag epopulation-gender group cbyom page-genderared to South Af rgroupica compared to

LP, Mopani DM (DC33)

2000/01 2010/11 2020/21

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

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.4% 3.0% 1.5% 3.0% 1.9% 4.0%

60-64 years 1.3% 1.4% 1.9%

55-59 years 2.0% 2.3%

50-54 years 1.3% 1.7% 1.4% 2.4% 1.6% 2.5%

45-49 years 1.6% 2.6% 1.6% 2.7% 2.1% 2.9%

40-44 years 1.7% 2.9% 2.0% 3.0% 2.6% 3.2%

35-39 years 2.1% 3.5% 2.5% 3.5% 3.4% 3.6%

30-34 years 2.4% 3.6% 2.9% 3.7% 4.0% 4.3%

25-29 years 2.9% 4.1% 3.8% 4.0% 3.9% 4.0%

20-24 years 3.7% 4.6% 5.1% 5.2% 3.7% 3.7%

15-19 years 6.0% 6.1% 6.0% 6.0% 4.5% 4.3%

10-14 years 7.4% 7.5% 5.5% 5.6% 5.8% 5.5%

05-09 years 7.0% 7.2% 5.3% 5.2% 5.8% 5.6%

00-04 years 5.7% 5.9% 6.4% 6.1% 5.4% 5.3%

8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars

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

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.

413 Section B: NationalProfile Limpopo and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 LP, Mopani DM: DC33, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 78% 5% 11% 6% 78% 5% 10% 6% causes and 5-14 42% 19% 22% 17% 37% 17% 21% 26% single leading 15-24 31% 30% 23% 17% 19% 13% 20% 48% causes 25-64 25% 33% 39% 4% 23% 31% 33% 13% 65+ 24% 4% 70% 2% 22% 9% 65% 4% Total 30% 18% 47% 4% 29% 20% 39% 11% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (23.6%) Lower respiratory infections (21.9%) HIV and TB 2 Diarrhoeal diseases (17.9%) Diarrhoeal diseases (17.7%) Comm_mat_peri_nut 3 Preterm birth complications (11.9%) Preterm birth complications (12.1%)

s 4 Protein-energy malnutrition (6.9%) Birth asphyxia (7.5%) Prov, District 5 Birth asphyxia (6.0%) Protein-energy malnutrition (5.9%) LP, Mopani DM: DC33 y e a r 6 Meningitis/encephalitis (5.5%) Meningitis/encephalitis (5.8%) Show history 5

< 7 HIV/AIDS (3.8%) HIV/AIDS (3.3%) 8 Poisonings (including herbal) (2.5%) Other perinatal conditions (2.9%) Percentages are shown 9 Other perinatal conditions (2.3%) Poisonings (including herbal) (2.9%) according to all the deaths 10 Nephritis/nephrosis (1.8%) Tuberculosis (2.2%) within the age/gender 1 Lower respiratory infections (15.5%) Diarrhoeal diseases (13.3%) category of each box, 2 Diarrhoeal diseases (11.9%) Lower respiratory infections (13.0%) although only the leading 3 Tuberculosis (11.4%) Drowning (11.7%) 10 causes are displayed. 4 Meningitis/encephalitis (11.3%) Tuberculosis (9.3%) 5 HIV/AIDS (9.8%) HIV/AIDS (9.2%) 1 4

5 - 6 Road injuries (7.5%) Road injuries (6.7%) 7 Accidental threats to breathing (4.7%) Meningitis/encephalitis (6.5%) 8 Nephritis/nephrosis (3.1%) Accidental threats to breathing (3.3%) 9 Epilepsy (2.7%) Nephritis/nephrosis (2.3%) 10 Drowning (2.5%) Other unintentional injuries (2.0%) 1 HIV/AIDS (16.6%) Road injuries (15.0%) 2 Tuberculosis (14.4%) Accidental threats to breathing (11.4%) 3 Lower respiratory infections (11.2%) Interpersonal violence (11.2%) 4 Diarrhoeal diseases (7.6%) Tuberculosis (7.7%)

2 4 5 Road injuries (7.2%) Lower respiratory infections (6.0%)

1 5 - 6 Meningitis/encephalitis (6.9%) HIV/AIDS (5.7%) 7 Endocrine nutritional,blood, immune (3.2%) Meningitis/encephalitis (5.3%) 8 Interpersonal violence (2.7%) Diarrhoeal diseases (4.6%) 9 Nephritis/nephrosis (2.6%) Drowning (4.4%) 10 Accidental threats to breathing (2.5%) Mechanical forces (4.2%) 1 HIV/AIDS (18.9%) Tuberculosis (16.4%) 2 Tuberculosis (14.0%) HIV/AIDS (14.5%) 3 Lower respiratory infections (9.8%) Lower respiratory infections (9.6%) 4 Diarrhoeal diseases (6.4%) Diarrhoeal diseases (5.8%)

6 4 5 Diabetes mellitus (5.7%) Road injuries (5.1%)

2 5 - 6 Meningitis/encephalitis (5.1%) Meningitis/encephalitis (4.6%) 7 Hypertensive heart disease (4.5%) Diabetes mellitus (4.0%) 8 Cerebrovascular disease (4.1%) Cerebrovascular disease (3.7%) 9 Nephritis/nephrosis (3.3%) Nephritis/nephrosis (3.5%) 10 Endocrine nutritional,blood, immune (3.2%) Hypertensive heart disease (3.2%) 1 Cerebrovascular disease (15.0%) Hypertensive heart disease (11.2%) 2 Hypertensive heart disease (14.5%) Lower respiratory infections (11.2%) 3 Diabetes mellitus (11.1%) Cerebrovascular disease (9.7%) 4 Lower respiratory infections (10.8%) Diabetes mellitus (9.7%) 5 Meningitis/encephalitis (6.0%) Tuberculosis (6.1%)

6 5 + 6 Diarrhoeal diseases (4.7%) Nephritis/nephrosis (4.8%) 7 Nephritis/nephrosis (4.7%) Meningitis/encephalitis (4.7%) 8 Other respiratory (3.4%) Diarrhoeal diseases (4.5%) 9 Tuberculosis (2.5%) Prostate (4.0%) 10 Ischaemic heart disease (2.5%) Ischaemic heart disease (3.3%)

Rank Maternal conditions All other causes 1 Other maternal (27.2%) n=33 HIV/AIDS (22.8%) n=2 182 2 Maternal haemorrhage (22.6%) n=27 Tuberculosis (16.5%) n=1 577 3 Indirect maternal (18.2%) n=22 Lower respiratory infections (11.4%) n=1 090 4 Abortion (16.7%) n=20 Diarrhoeal diseases (7.0%) n=672 e a l 4 9 5 Hypertension in pregnancy (15.3%) n=19 Meningitis/encephalitis (5.8%) n=559

1 5 - 6 Endocrine nutritional,blood, immune (3.4%) n=323 F e m 7 Nephritis/nephrosis (3.2%) n=302 8 Diabetes mellitus (2.7%) n=255 9 Hypertensive heart disease (2.5%) n=236 10 Cervix (2.3%) n=216

414 SectionSection B: National B: Profile and Limpopo District Province Profiles

Annual trends, 2015/16–2019/20 Mopani: DC33 Mopani: DC33 e s n g 90 90 l 13 i 10 10 o f a n i P r p l 80 80

y 8 8 l TB DS client lost to i Couple year follow up rate [both 14 protection rate [ | 23 sexes all ages | DHIS] 70 15 70 6 6 23 ETR/Tier.Net] 12 1 _ F a m 60 27 60 4 4 29 7 7

e 12 12 100 8 100 45 c a r 45 y 45 v e r i 11 TB DS death rate 43 Antenatal 1st visit 90 90 10 10 d e l [both sexes all coverage [female | ages | a n d DHIS] ETR/Tier.Net] 23 8 8 80 80 26 22 22 e g n a c y 100 14 17 100 28 8

1 _ 2 P r 11 15 15 TB symptom 5 Delivery in 10 to 19 years and older screened in facility 50 50 years in facility rate 14 14 [female | DHIS] rate [both sexes | 21 DHIS] 13 17 13 0 0

160 160 34

TB symptom child 80 80 140 140 29 Maternal mortality under 5 years 27 screened in facility in facility ratio 35 39 [female | DHIS] 120 120 rate [both sexes | 70 70 DHIS] 35 100 100 36 28 23 60 60

16 16 e n t 46 90 90 m e a t r

t Adult with viral 36 V 30 Neonatal death in 14 14 I load suppressed facility rate [both 41 rate 12 months sexes | DHIS] [both sexes 15+ 85 36 85 2 _ H years | DHIS] 12 26 23 12 39 22 o n i 16

s a t 80 80

u n i 34 Child with viral 60 41 60

m Immunisation load suppressed 38 m i under 1 year 40 rate 12 months d

l 70 70 coverage [both [both sexes 0-14 43 h i 46 sexes | DHIS] 40 years | DHIS] 50 50 60 60 1 _ 3 C 46 42 80 9 80 e n t 10 44 10 9 m 50

e a t 9 r t Death in facility Clients remaining d 8 8 9 l 45 on ART rate [both 70 70

h i under 5 years rate 44 [both sexes | 42 sexes all ages | DHIS] 38 DHIS]

1 _ 4 C 6 6 60 60 6

C 8

6 50 6 U 30 30

Pneumonia case Antiretroviral fatality under 5 effective coverage 16 4 4 25 25 years rate [both [both sexes 0-14 18 sexes <5 years | years | DHIS-Tier] 38 39 39 DHIS] 34 40 20 20 2 2 31

2 3 e n t 7 4 m 82 18 22 82 e a t r

t 17 Antiretroviral 50 50 TB DS treatment 2 effective coverage success rate [both 80 80 [both sexes 15+ sexes all ages | years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 40 40 78 78

76 76 4 3 4 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 50 50

F Y F Y F Y F Y F Y F Y Antiretroviral effective coverage 2 Measure Names Rank [both sexes all Prov av 1 50 ages | DHIS-Tier] 40 40 ZA av Ind Value 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

415 Section B: NationalProfile Limpopo and District Province Profiles

Mopani: DC33 Mopani: DC33 9 C

U 84 84 3300 3300 Age-standardised n a c e Expenditure per 3200 3200 prevalence of 22 patient day 3100 3100 non-raised blood 82 20 82 4 _ 5 F i equivalent (district pressure (index) 20 3000 3000 hospitals) [ | BAS [both sexes 15+ 18 2900 2900 real 2019/20 years | NiDS 80 16 80 2800 2800 prices] modelled] 16 2700 2700 78 78 2600 2600 e s e n t 2400 2400 a b e t

i 26 Provincial & LG District Health Diabetes 10 10 a n g e m Services

m prevalence [both 18 2200 2200 3 _ 2 D expenditure per sexes 15+ years | capita (uninsured) [ NiDS modelled] 12 | BAS real 2019/20 5 8 5 2000 2000 prices] 2 1 1800 1800

1 0 14 C

U 40 14 40 Provincial & LG 1200 1200 Diabetes treatment 14 PHC expenditure coverage [both 17 per capita 1100 1100 sexes 15+ years | 38 18 38 (uninsured) [ | BAS NiDS modelled] real 2019/20 19 prices] 1000 1000

36 36 900 900 o n i

e c t 500 500 45 27 45 Provincial & LG d e t Cervical cancer 26 29 PHC expenditure screening per PHC 40 23 40 a n c e r coverage [female | headcount [ | BAS 400 400 DHIS] 41 real 2019/20 prices] 3 _ C 35 35 35 300 300 1 2

C 9 9 9 8 8 8

U 88 88 s e a d i

Tobacco Percentage of non-smoking 86 86 o f prevalence (index) deaths garbage 12 27 12

d e n codes [both sexes [both sexes 15+ all ages | vital years | NiDS 84 84 B u r registration] 17 modelled] 82 82 10 14 10 e n t i 18 18 47 20 20 a c e s 17 17 n p a t i y t

i Hospital beds per 16 16 Percentage of 42 l 10 000 target 15 15 deaths ill-defined population [ | DHIS [both sexes all 14 34 14 15 15 2000-2030 public 40 34 35 ages | vital 13 40 13 4 _ 1 F a c i sector] registration] 12 12 10 10 11 47 11 18 y t 52

d e n s i 30 30 Percentage of

30 30 Medical YLLs due to

k e r 50 practitioners per communicable, 50 o r

w 100 000 population maternal, perinatal, 25 25 h

t [both sexes | public nutrition causes 20 20

e a l sector] [both sexes | vital 40 44 registration] 20 20 45 45 4 _ 2 H 12 12 26 26 Percentage of Pharmacists per 10 10 YLLs due to HIV 14 100 000 population 24 24 and TB [both [both sexes | public 21 sexes | vital sector] 41 registration] 22 22 8 43 8 41 40 20 14 20 180 180 11 Professional 170 170 14 14 Percentage of nurses per 100 19 000 population YLLs due to 160 160 injuries [both sexes [both sexes | public 23 | vital registration] sector] 24 12 12 150 150 5 4 3 n e s a n d 45 45 c i C

e d i Percentage of

P H 40 40 m YLLs due to 18 Percentage Ideal non-communicable 40 14 40 clinics [ | IC status] diseases [both 20 20 sexes | vital 52 registration] 35 35 4 _ 3 A c e s 51 52 0 11 35 52 0 10 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

416 SectionSection B: National B: Profile and Limpopo District Province Profiles

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 . It comprises four local municipalities: Musina, Thulamela, Makhado and Collins Chabane. Cities/Towns: Makhado, , Musina, Thohoyandou Area: 25 596km² Population (2019)d: 1 477 702

DistrictDistrict % percentagepopulation by ag epopulation-gender group cbyom page-genderared to South Af rgroupica compared to South Africa

LP, Vhembe DM (DC34)

2000/01 2010/11 2020/21

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

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.6% 4.3% 1.5% 3.5% 1.8% 4.2%

60-64 years 1.3% 1.8%

55-59 years 1.8% 2.1%

50-54 years 1.7% 2.2% 1.5% 2.4%

45-49 years 1.3% 2.3% 1.5% 2.6% 2.0% 3.0%

40-44 years 1.5% 2.7% 1.9% 2.8% 2.6% 3.3%

35-39 years 2.0% 3.2% 2.4% 3.5% 3.3% 3.7%

30-34 years 2.1% 3.2% 2.9% 3.8% 3.9% 4.3%

25-29 years 2.7% 4.0% 3.7% 4.1% 4.0% 4.1%

20-24 years 3.6% 4.6% 5.0% 5.2% 3.9% 3.8%

15-19 years 6.1% 6.1% 6.2% 6.2% 4.7% 4.4%

10-14 years 7.4% 7.5% 5.9% 5.8% 5.5% 5.2%

05-09 years 7.5% 7.6% 5.6% 5.4% 5.8% 5.6%

00-04 years 6.1% 6.1% 6.2% 6.0% 5.6% 5.4%

8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars

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

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.

417 Section B: NationalProfile Limpopo and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 LP, Vhembe DM: DC34, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 71% 11% 12% 6% 72% 9% 12% 7% causes and 5-14 32% 24% 23% 21% 33% 23% 18% 27% single leading 15-24 24% 31% 22% 22% 14% 15% 17% 54% causes 25-64 21% 32% 42% 5% 17% 33% 36% 15% 65+ 17% 3% 77% 2% 16% 8% 72% 4% Total 24% 17% 55% 5% 23% 21% 44% 12% Broadcause Injury NCD Rank Female Male 1 Diarrhoeal diseases (18.8%) Diarrhoeal diseases (19.3%) HIV and TB 2 Protein-energy malnutrition (15.8%) Protein-energy malnutrition (15.5%) Comm_mat_peri_nut 3 Lower respiratory infections (14.4%) Lower respiratory infections (12.5%)

s 4 HIV/AIDS (8.9%) Preterm birth complications (9.2%) Prov, District 5 Preterm birth complications (8.8%) Birth asphyxia (7.3%) LP, Vhembe DM: DC34 y e a r 6 Birth asphyxia (6.3%) HIV/AIDS (7.0%) Show history 5

< 7 Septicaemia (2.4%) Other perinatal conditions (3.0%) 8 Poisonings (including herbal) (2.3%) Septicaemia (2.4%) Percentages are shown 9 Tuberculosis (2.3%) Accidental threats to breathing (2.2%) according to all the deaths 10 Accidental threats to breathing (2.2%) Poisonings (including herbal) (2.0%) within the age/gender 1 HIV/AIDS (13.3%) HIV/AIDS (15.7%) category of each box, 2 Tuberculosis (12.9%) Drowning (12.4%) although only the leading 3 Diarrhoeal diseases (11.3%) Diarrhoeal diseases (11.5%) 10 causes are displayed. 4 Lower respiratory infections (10.5%) Tuberculosis (8.1%) 5 Accidental threats to breathing (7.7%) Road injuries (7.5%) 1 4

5 - 6 Road injuries (6.9%) Lower respiratory infections (6.2%) 7 Epilepsy (4.7%) Meningitis/encephalitis (4.4%) 8 Septicaemia (3.8%) Accidental threats to breathing (3.9%) 9 Meningitis/encephalitis (3.4%) Malaria (3.5%) 10 Fires, hot substances (3.3%) Endocrine nutritional,blood, immune (2.9%) 1 HIV/AIDS (19.4%) Accidental threats to breathing (20.2%) 2 Tuberculosis (13.6%) Road injuries (16.0%) 3 Lower respiratory infections (8.3%) HIV/AIDS (8.0%) 4 Accidental threats to breathing (8.1%) Interpersonal violence (7.9%)

2 4 5 Road injuries (6.7%) Tuberculosis (7.2%)

1 5 - 6 Diarrhoeal diseases (5.3%) Drowning (5.7%) 7 Endocrine nutritional,blood, immune (3.4%) Meningitis/encephalitis (4.7%) 8 Interpersonal violence (3.2%) Lower respiratory infections (3.5%) 9 Meningitis/encephalitis (2.8%) Epilepsy (3.2%) 10 Diabetes mellitus (2.4%) Mechanical forces (2.6%) 1 HIV/AIDS (18.2%) Tuberculosis (16.5%) 2 Tuberculosis (13.4%) HIV/AIDS (16.4%) 3 Lower respiratory infections (8.0%) Lower respiratory infections (7.2%) 4 Diarrhoeal diseases (7.2%) Diabetes mellitus (5.0%)

6 4 5 Diabetes mellitus (6.8%) Diarrhoeal diseases (5.0%)

2 5 - 6 Cerebrovascular disease (4.7%) Road injuries (4.8%) 7 Cervix (4.6%) Accidental threats to breathing (4.2%) 8 Nephritis/nephrosis (4.4%) Cerebrovascular disease (4.0%) 9 Endocrine nutritional,blood, immune (3.7%) Nephritis/nephrosis (3.8%) 10 Hypertensive heart disease (3.2%) Endocrine nutritional,blood, immune (3.0%) 1 Cerebrovascular disease (17.7%) Cerebrovascular disease (11.5%) 2 Diabetes mellitus (12.7%) Diabetes mellitus (10.8%) 3 Hypertensive heart disease (12.4%) Hypertensive heart disease (9.3%) 4 Lower respiratory infections (7.3%) Lower respiratory infections (8.8%) 5 Nephritis/nephrosis (5.5%) Nephritis/nephrosis (7.3%)

6 5 + 6 Diarrhoeal diseases (5.4%) Tuberculosis (5.5%) 7 Endocrine nutritional,blood, immune (3.4%) Prostate (5.1%) 8 Septicaemia (3.3%) Diarrhoeal diseases (3.8%) 9 Cervix (2.9%) HIV/AIDS (2.8%) 10 Ischaemic heart disease (2.8%) Endocrine nutritional,blood, immune (2.8%)

Rank Maternal conditions All other causes 1 Other maternal (28.5%) n=44 HIV/AIDS (22.8%) n=1 861 2 Hypertension in pregnancy (20.4%) n=32 Tuberculosis (16.6%) n=1 355 3 Indirect maternal (19.2%) n=30 Lower respiratory infections (8.7%) n=713 4 Maternal haemorrhage (16.0%) n=25 Diarrhoeal diseases (8.3%) n=677 e a l 4 9 5 Abortion (15.9%) n=25 Nephritis/nephrosis (4.1%) n=334

1 5 - 6 Endocrine nutritional,blood, immune (4.0%) n=324 F e m 7 Cervix (3.4%) n=278 8 Diabetes mellitus (2.8%) n=230 9 Road injuries (2.5%) n=204 10 Cerebrovascular disease (2.3%) n=187

418 SectionSection B: National B: Profile and Limpopo District Province Profiles

Annual trends, 2015/16–2019/20

Vhembe: DC34 Vhembe: DC34 e s n g l i 30

o f 10 10 80 19 80 a n i P r p l y

l TB DS client lost to

i 8 43 8 Couple year 70 70 follow up rate [both protection rate [ | 28 sexes all ages | DHIS] 24 24 ETR/Tier.Net] 6 6 60 33 60 10 1 _ F a m 4 4 8 50 41 50

e 12 12 90 90 c a r y v e r

i 10 10 17 TB DS death rate Antenatal 1st visit 85 85 d e l 21 [both sexes all coverage [female | ages | 33 25

a n d DHIS] 8 8 80 80 ETR/Tier.Net] 25 23 29 21 17 6 12 6 e g n a c y 75 75 100 100 32 23 16 16 28

1 _ 2 P r 27 27 31 TB symptom 5 21 Delivery in 10 to 19 15 15 years and older years in facility rate screened in facility 50 50 [female | DHIS] rate [both sexes | 14 14 DHIS]

13 13 0 0

150 150 80 38 80 TB symptom child Maternal mortality under 5 years 38 in facility ratio screened in facility [female | DHIS] 100 100 rate [both sexes | 17 DHIS] 60 60 18 22 9 24 13 38 50 50

e n t 90 90 14 14 m e a t r

t Adult with viral V Neonatal death in I load suppressed 12 12 rate 12 months 85 85 facility rate [both 46 37 sexes | DHIS] 18 [both sexes 15+ 21 2 _ H years | DHIS] 10 21 10 45 9 80 80 10 46 o n i 90 13 90

s a t 33

u n i Child with viral 18

m Immunisation 80 80 load suppressed 60 60 m i under 1 year 36 rate 12 months d l coverage [both 34 [both sexes 0-14 h i 33 33 sexes | DHIS] 70 70 years | DHIS] 49 33

1 _ 3 C 50 46 50 60 60 90 2 90 e n t 8 8 4 m

e a t 5 2 r 80 80 t Death in facility 7 7 Clients remaining d l on ART rate [both

h i under 5 years rate [both sexes | 6 34 6 sexes all ages | 70 70 DHIS] DHIS]

1 _ 4 C 17 5 22 5 60 60 22 20 18 4 4 6

C 25 17 25 4 4 U 24 24 23 23 Pneumonia case Antiretroviral 32 22 22 fatality under 5 3 3 effective coverage 21 21 years rate [both [both sexes 0-14 39 sexes <5 years | 25 26 years | DHIS-Tier] 20 20 DHIS] 2 2 19 19 27 16 18 18 29 15 17 34 17 1 1 8 e n t 85 12 85 m 3 50 10 50 e a t r

t Antiretroviral 15 TB DS treatment effective coverage success rate [both 80 32 80 [both sexes 15+ sexes all ages | years | DHIS-Tier] 40 40 2 _ 1 T B ETR/Tier.Net]

75 75 23 48 8 50 50

2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 11 F Y F Y F Y F Y F Y F Y Antiretroviral 16 effective coverage Measure Names Rank [both sexes all 40 40 Prov av 1 48 ages | DHIS-Tier] ZA av Ind Value 24 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

419 Section B: NationalProfile Limpopo and District Province Profiles

Vhembe: DC34 Vhembe: DC34

9 3400 3400 C 8 U 7 Age-standardised 7 n a c e 84 84 Expenditure per prevalence of 5 3200 3200 5 non-raised blood patient day 6 4 _ 5 F i equivalent (district pressure (index) 82 82 hospitals) [ | BAS 3000 3000 [both sexes 15+ real 2019/20 years | NiDS 80 80 prices] modelled] 2800 2800 78 78

e s 20 20 2600 2600 e n t 46 a b e t i 43 Provincial & LG District Health 2400 2400 Diabetes 15 15 a n g e m 39 Services

m prevalence [both 3 _ 2 D 36 expenditure per sexes 15+ years | 2200 2200 33 capita (uninsured) [ NiDS modelled] 10 30 10 | BAS real 2019/20 2000 2000 prices]

5 5 1800 1800

1 0 8 C 42 42 U 41 11 41 Provincial & LG 1200 1200 Diabetes treatment 40 40 PHC expenditure 14 coverage [both 39 39 per capita 1100 1100 sexes 15+ years | 38 20 38 (uninsured) [ | BAS NiDS modelled] 37 37 real 2019/20 24 prices] 36 36 1000 1000 35 31 35 900 900 o n i

e c t 500 500 Provincial & LG d e t Cervical cancer 40 40 PHC expenditure 36 screening 38 43 per PHC a n c e r coverage [female | headcount [ | BAS DHIS] 37 real 2019/20 400 400 48 prices] 3 _ C 30 30 43

1 2 7 C 89 7 7 89 U 10 8 s e a 88 88 d i

Tobacco 11 Percentage of non-smoking 87 87 o f 29 deaths garbage 12 12 prevalence (index) 86 86

d e n codes [both sexes [both sexes 15+ 24 85 85 all ages | vital years | NiDS B u r 84 84 registration] modelled] 83 83 10 10 82 82 7 e n t i 18 18 52 52 50 a c e s n p a t i y 30 30 t

i Hospital beds per Percentage of l 10 000 target 16 16 deaths ill-defined population [ | DHIS [both sexes all 2000-2030 public ages | vital 14 14 4 _ 1 F a c i sector] 38 registration] 20 20 41 39 39 37 12 45 12 y t

d e n s i 30 30 Percentage of

Medical YLLs due to 25 44 25 k e r practitioners per communicable, o r 46 45

w 100 000 population maternal, perinatal, h

t [both sexes | public nutrition causes

e a l sector] 20 20 [both sexes | vital 20 20 registration] 41 45 41 43 4 _ 2 H 12 12 27 22 27 26 26 Percentage of Pharmacists per 25 25 10 10 YLLs due to HIV 100 000 population 24 24 and TB [both [both sexes | public 23 23 sexes | vital sector] 22 22 registration] 8 42 8 21 21 43 9 36 39 20 13 20

220 3 220 3 Professional 200 200 5 Percentage of 14 14 nurses per 100 9 000 population YLLs due to 180 180 injuries [both sexes [both sexes | public | vital registration] sector] 9 160 160 12 6 12 5 140 140 n e s a n d 30 c i 45 45 C 29

e d i Percentage of

P H 40 40 m YLLs due to Percentage Ideal 39 45 non-communicable clinics [ | IC status] diseases [both 40 40 20 20 sexes | vital 45 registration] 4 _ 3 A c e s 20 50 18 0 11 0 35 35 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

420 SectionSection B: National B: Profile and Limpopo District Province Profiles

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 . Cities/Towns: Alldays, Dendron, Morebeng (Soekmekaar), Polokwane, Senwabarwana (Bochum), Zebediela Area: 21 705km² Population (2019)f: 1 350 111

DistrictDistrict % percentagepopulation by ag populatione-gender group cbyom page-genderared to South Af grouprica compared to South Africa

LP, Capricorn DM (DC35)

2000/01 2010/11 2020/21

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

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.9% 3.7% 2.0% 4.0% 2.5% 5.2%

60-64 years 1.5% 1.6% 1.8%

55-59 years 1.5% 1.9% 1.3% 2.2%

50-54 years 1.3% 1.9% 1.4% 2.1% 1.6% 2.4%

45-49 years 1.6% 2.3% 1.7% 2.6% 2.0% 2.7%

40-44 years 1.7% 2.5% 1.9% 2.8% 2.5% 2.9%

35-39 years 2.1% 3.2% 2.3% 3.1% 3.3% 3.5%

30-34 years 2.2% 3.2% 2.7% 3.3% 3.8% 4.0%

25-29 years 2.6% 3.6% 3.6% 3.9% 3.8% 3.7%

20-24 years 3.4% 4.0% 4.9% 4.9% 3.8% 3.6%

15-19 years 6.2% 6.0% 6.3% 6.0% 4.8% 4.5%

10-14 years 7.5% 7.4% 6.0% 5.8% 5.6% 5.4%

05-09 years 7.4% 7.2% 5.6% 5.5% 5.8% 5.6%

00-04 years 6.1% 5.9% 6.1% 5.9% 5.5% 5.3%

8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars

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

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.

421 Section B: NationalProfile Limpopo and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 LP, Capricorn DM: DC35, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 74% 6% 14% 6% 74% 5% 15% 7% causes and 5-14 36% 15% 33% 16% 31% 15% 30% 23% single leading 15-24 31% 29% 23% 17% 13% 10% 21% 56% causes 25-64 20% 33% 41% 5% 16% 30% 37% 17% 65+ 18% 3% 77% 2% 17% 7% 72% 4% Total 25% 18% 53% 5% 22% 19% 45% 14% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (23.3%) Lower respiratory infections (21.5%) HIV and TB 2 Diarrhoeal diseases (18.5%) Diarrhoeal diseases (18.3%) Comm_mat_peri_nut 3 Preterm birth complications (9.5%) Preterm birth complications (10.5%)

s 4 Birth asphyxia (5.7%) Birth asphyxia (6.6%) Prov, District 5 Other perinatal conditions (4.6%) Other perinatal conditions (4.4%) LP, Capricorn DM: DC35 y e a r 6 HIV/AIDS (4.3%) Protein-energy malnutrition (3.7%) Show history 5

< 7 Protein-energy malnutrition (3.5%) Sepsis/other newborn infectious (3.7%) 8 Sepsis/other newborn infectious (3.4%) HIV/AIDS (3.0%) Percentages are shown 9 Meningitis/encephalitis (2.8%) Meningitis/encephalitis (2.4%) according to all the deaths 10 Septicaemia (2.4%) Poisonings (including herbal) (2.3%) within the age/gender 1 Lower respiratory infections (16.5%) Lower respiratory infections (12.5%) category of each box, 2 Diarrhoeal diseases (11.7%) Road injuries (11.1%) although only the leading 3 Road injuries (11.0%) Diarrhoeal diseases (9.3%) 10 causes are displayed. 4 HIV/AIDS (8.1%) Tuberculosis (8.3%) 5 Tuberculosis (8.0%) HIV/AIDS (7.6%) 1 4

5 - 6 Other neoplasms (3.7%) Drowning (6.6%) 7 Meningitis/encephalitis (3.5%) Leukaemia (4.4%) 8 Epilepsy (3.4%) Meningitis/encephalitis (4.1%) 9 Endocrine nutritional,blood, immune (2.9%) Septicaemia (3.2%) 10 Septicaemia (2.7%) Endocrine nutritional,blood, immune (3.0%) 1 HIV/AIDS (19.7%) Road injuries (24.7%) 2 Lower respiratory infections (11.0%) Accidental threats to breathing (11.6%) 3 Road injuries (10.7%) Interpersonal violence (10.9%) 4 Tuberculosis (10.3%) Lower respiratory infections (5.4%)

2 4 5 Diarrhoeal diseases (8.0%) HIV/AIDS (5.3%)

1 5 - 6 Accidental threats to breathing (3.1%) Tuberculosis (5.2%) 7 Hypertension in pregnancy (2.8%) Mechanical forces (3.9%) 8 Meningitis/encephalitis (2.3%) Diarrhoeal diseases (3.2%) 9 Endocrine nutritional,blood, immune (2.1%) Epilepsy (3.0%) 10 Other maternal (2.0%) Meningitis/encephalitis (2.7%) 1 HIV/AIDS (23.1%) HIV/AIDS (17.1%) 2 Tuberculosis (10.2%) Tuberculosis (13.0%) 3 Lower respiratory infections (9.6%) Lower respiratory infections (9.0%) 4 Diarrhoeal diseases (6.2%) Road injuries (8.4%)

6 4 5 Diabetes mellitus (5.7%) Hypertensive heart disease (5.2%)

2 5 - 6 Hypertensive heart disease (5.5%) Diarrhoeal diseases (4.5%) 7 Cerebrovascular disease (4.0%) Diabetes mellitus (4.3%) 8 Cervix (3.6%) Cerebrovascular disease (3.6%) 9 Road injuries (2.7%) Accidental threats to breathing (2.9%) 10 Endocrine nutritional,blood, immune (2.4%) Nephritis/nephrosis (2.0%) 1 Hypertensive heart disease (20.8%) Hypertensive heart disease (16.1%) 2 Cerebrovascular disease (15.3%) Lower respiratory infections (11.0%) 3 Diabetes mellitus (11.4%) Cerebrovascular disease (9.7%) 4 Lower respiratory infections (11.2%) Diabetes mellitus (8.4%) 5 Diarrhoeal diseases (5.0%) Tuberculosis (5.1%)

6 5 + 6 Ischaemic heart disease (3.9%) COPD (4.6%) 7 Nephritis/nephrosis (2.5%) Ischaemic heart disease (4.2%) 8 Cervix (2.3%) Prostate (4.2%) 9 Endocrine nutritional,blood, immune (1.7%) Diarrhoeal diseases (4.1%) 10 Tuberculosis (1.5%) Nephritis/nephrosis (2.8%)

Rank Maternal conditions All other causes 1 Hypertension in pregnancy (26.6%) n=106 HIV/AIDS (29.5%) n=3 555 2 Indirect maternal (21.9%) n=87 Tuberculosis (12.6%) n=1 516 3 Other maternal (21.8%) n=87 Lower respiratory infections (11.5%) n=1 382 4 Maternal haemorrhage (14.8%) n=59 Diarrhoeal diseases (7.2%) n=860 e a l 4 9 5 Abortion (9.6%) n=38 Road injuries (4.1%) n=495

1 5 - 6 Maternal sepsis (5.4%) n=21 Cervix (2.8%) n=339 F e m 7 Endocrine nutritional,blood, immune (2.6%) n=311 8 Diabetes mellitus (2.5%) n=298 9 Hypertensive heart disease (2.4%) n=289 10 Cerebrovascular disease (1.9%) n=229

422 SectionSection B: National B: Profile and Limpopo District Province Profiles

Annual trends, 2015/16–2019/20 Capricorn: DC35 Capricorn: DC35 e s n g 90 90 l 14 i 10 10 o f a n i P r

p l 80 80 y

l TB DS client lost to i Couple year 8 8 follow up rate [both protection rate [ | 25 sexes all ages | DHIS] 70 14 19 70 17 ETR/Tier.Net] 33 7 6 6 1 _ F a m 60 60 11 34 15 4 4 e 15 15 7 50 c a r 90 90 14 14 y 15 14 13 13 v e r 47 i TB DS death rate 12 12 Antenatal 1st visit 85 10 85

d e l 45 [both sexes all 11 11 coverage [female | 20 ages | 10 10 a n d DHIS] ETR/Tier.Net] 41 80 80 9 9 14 8 8 7 7 e g n a c y 75 75

14.0 14.0 100 9 9 100

1 _ 2 P r 5 TB symptom 5 13.5 13.5 Delivery in 10 to 19 years and older 17 years in facility rate screened in facility 50 50 [female | DHIS] 13.0 13.0 rate [both sexes | DHIS]

12.5 15 12.5 17 15 0 0 50 16 300 52 300 16 90 9 90 52 TB symptom child Maternal mortality under 5 years 52 screened in facility 80 80 in facility ratio 200 50 52 200 [female | DHIS] rate [both sexes | DHIS] 70 70

100 100 60 60

25 52 25 e n t 90 90 m e a t r

t Adult with viral 27 V Neonatal death in 20 51 51 20 I load suppressed 41 facility rate [both 50 rate 12 months sexes | DHIS] 49 [both sexes 15+ 85 85 2 _ H years | DHIS] 37 15 15 40 o n i 15

s a t 65 65 80 19 80

u n i Child with viral

m Immunisation 39 load suppressed m i under 1 year 31 rate 12 months 60 60 d l coverage [both [both sexes 0-14 42 h i 70 44 70 32 sexes | DHIS] years | DHIS] 43 55 55 39 1 _ 3 C 43 60 60 80 80 e n t 42 49 m

e a t 8 8 15 17 r t Death in facility Clients remaining 70 70 d l 40 on ART rate [both

h i under 5 years rate 43 17 41 sexes all ages | [both sexes | 37 DHIS] 6 6 DHIS]

1 _ 4 C 60 23 60 6

C 9

52 U 8 51 8

Pneumonia case 51 Antiretroviral 25 25 fatality under 5 6 51 6 effective coverage years rate [both [both sexes 0-14 27 sexes <5 years | 38 years | DHIS-Tier] 4 4 22 DHIS] 41 20 20 31 2 2 7 e n t 9 13 7 m 80 80 50 8 50 e a t r t Antiretroviral TB DS treatment 43 success rate [both effective coverage [both sexes 15+ sexes all ages | 8 75 75 years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 40 40

70 48 70 7 7

2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 50 50 8

F Y F Y F Y F Y F Y F Y Antiretroviral effective coverage Measure Names Rank [both sexes all Prov av 1 52 ages | DHIS-Tier] 40 8 40 ZA av Ind Value 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

423 Section B: NationalProfile Limpopo and District Province Profiles

Capricorn: DC35 Capricorn: DC35 9

C 3

U 3

2 n a c e Age-standardised 2 3500 3500 2 Expenditure per prevalence of 2 non-raised blood 85 85 patient day 4 _ 5 F i equivalent (district pressure (index) hospitals) [ | BAS [both sexes 15+ real 2019/20 years | NiDS 3000 3000 prices] modelled] 80 80 e s e n t 15 35 15 2400 2400 a b e t

i Provincial & LG 33 District Health Diabetes a n g e m Services

m prevalence [both 2200 2200 3 _ 2 D 10 24 10 expenditure per sexes 15+ years | capita (uninsured) [ NiDS modelled] 20 | BAS real 2019/20 2000 2000 14 prices] 11 5 5 1800 1800

1 0 7 C

U 7 45 45 Provincial & LG 1200 1200 Diabetes treatment 7 PHC expenditure coverage [both 11 per capita 1100 1100 sexes 15+ years | 12 (uninsured) [ | BAS NiDS modelled] 40 40 real 2019/20 19 prices] 1000 1000

900 900 o n i

e c t 500 500 Provincial & LG d e t Cervical cancer 40 40 PHC expenditure screening 27 27 per PHC

a n c e r coverage [female | 41 headcount [ | BAS 400 400 DHIS] 46 real 2019/20 prices] 3 _ C 30 30 52 52

1 2 14 14 C

U 88 88 s e a d i

Tobacco 16 Percentage of non-smoking 16 o f 86 16 86 deaths garbage 12 12 prevalence (index) 18 18

d e n codes [both sexes [both sexes 15+ 18 all ages | vital years | NiDS 84 84 B u r registration] modelled] 10 10 8 82 82 4 9

e n t 20 20 i 18 21 18 20 19 19 19 a c e s n p a t

i 24 y 42 t

i Hospital beds per Percentage of l 18 18 10 000 target deaths ill-defined 41 population [ | DHIS [both sexes all 16 16 2000-2030 public ages | vital 16 16

4 _ 1 F a c i sector] registration] 40

14 14 14 14 y t 8 7 7 48 d e n s i 6 Percentage of

Medical 40 40 YLLs due to 25 25 k e r practitioners per communicable, 46 o r 45 w 100 000 population maternal, perinatal, h

t [both sexes | public nutrition causes

e a l sector] 30 30 [both sexes | vital 20 20 registration] 4 _ 2 H

15 27 27 26 26 14 17 14 16 Percentage of 25 25 Pharmacists per YLLs due to HIV 24 24 100 000 population 15 and TB [both 23 10 23 [both sexes | public sexes | vital 18 sector] 12 12 22 22 registration] 21 21 20 20 11 19 19 6 15 15 180 6 180 Professional 14 12 Percentage of nurses per 100 14 14 000 population YLLs due to 15 injuries [both sexes [both sexes | public 13 13 160 160 | vital registration] sector] 11 10 12 12

80 80 n e s a n d 19

c i 70 70 45 45 C 23

e d i 60 60 Percentage of P H 25 23 m 50 50 YLLs due to Percentage Ideal 29 non-communicable 40 40 40 40 clinics [ | IC status] 30 30 diseases [both sexes | vital 35 25 20 20 registration] 4 _ 3 A c e s 10 10 0 11 35 0 35 35 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

424 SectionSection B: National B: Profile and Limpopo District Province Profiles

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, , -, Mogalakwena and . Cities/Towns: Amandelbult Mine Town, Bela-Bela, Lephalale, Modimolle, (Potgietersrus), Mookgophong (Naboomspruit), , Thabazimbi, Area: 44 913km² Population (2019)h: 725 473

DistrictDistrict % percentagepopulation by ag populatione-gender group cbyom page-genderared to South A fgrouprica compared to South Africa

LP, Waterberg DM (DC36)

2000/01 2010/11 2020/21

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

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 2.1% 3.3% 2.2% 3.6% 2.5% 4.5%

60-64 years 1.5% 1.5% 1.4% 1.8%

55-59 years 1.4% 1.6% 2.0% 1.8% 2.2%

50-54 years 1.6% 1.8% 1.9% 2.2% 2.1% 2.4%

45-49 years 2.1% 2.5% 2.3% 2.7% 2.8% 2.9%

40-44 years 2.5% 2.7% 2.7% 2.9% 3.4% 3.1%

35-39 years 2.9% 3.4% 3.4% 3.5% 4.4% 3.6%

30-34 years 3.0% 3.4% 3.7% 3.7% 4.9% 3.9%

25-29 years 3.5% 4.1% 4.6% 4.0% 4.6% 3.6%

20-24 years 3.6% 4.1% 5.0% 4.4% 4.0% 3.4%

15-19 years 5.6% 5.5% 5.3% 5.0% 3.9% 3.6%

10-14 years 6.4% 6.3% 5.3% 5.1% 4.8% 4.6%

05-09 years 6.5% 6.2% 4.7% 4.7% 5.2% 5.0%

00-04 years 5.9% 5.8% 5.4% 5.2% 4.9% 4.8%

8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars

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

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.

425 Section B: NationalProfile Limpopo and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 LP, Waterberg DM: DC36, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 73% 9% 10% 8% 78% 7% 7% 8% causes and 5-14 35% 23% 19% 22% 32% 16% 19% 33% single leading 15-24 22% 37% 20% 20% 14% 19% 16% 50% causes 25-64 17% 39% 37% 7% 14% 35% 32% 18% 65+ 15% 4% 79% 2% 15% 7% 75% 3% Total 22% 23% 49% 6% 20% 23% 42% 15% Broadcause Injury NCD Rank Female Male 1 Diarrhoeal diseases (20.8%) Diarrhoeal diseases (20.9%) HIV and TB 2 Lower respiratory infections (19.7%) Lower respiratory infections (18.7%) Comm_mat_peri_nut 3 Preterm birth complications (11.3%) Preterm birth complications (14.7%)

s 4 HIV/AIDS (6.6%) Birth asphyxia (7.0%) Prov, District 5 Birth asphyxia (6.0%) Protein-energy malnutrition (6.3%) LP, Waterberg DM: DC36 y e a r 6 Protein-energy malnutrition (5.8%) Meningitis/encephalitis (4.7%) Show history 5

< 7 Meningitis/encephalitis (4.5%) HIV/AIDS (4.4%) 8 Poisonings (including herbal) (3.2%) Other perinatal conditions (3.7%) Percentages are shown 9 Other perinatal conditions (2.7%) Poisonings (including herbal) (3.1%) according to all the deaths 10 Tuberculosis (2.6%) Tuberculosis (2.8%) within the age/gender 1 Road injuries (17.6%) Road injuries (17.2%) category of each box, 2 Lower respiratory infections (15.3%) Diarrhoeal diseases (16.2%) although only the leading 3 HIV/AIDS (14.9%) HIV/AIDS (11.0%) 10 causes are displayed. 4 Diarrhoeal diseases (14.1%) Drowning (10.7%) 5 Tuberculosis (13.5%) Lower respiratory infections (9.7%) 1 4

5 - 6 Meningitis/encephalitis (4.7%) Tuberculosis (7.9%) 7 Other respiratory (3.9%) Epilepsy (4.6%) 8 Epilepsy (3.0%) Meningitis/encephalitis (3.8%) 9 Endocrine nutritional,blood, immune (2.8%) Fires, hot substances (3.5%) 10 Accidental threats to breathing (2.7%) Accidental threats to breathing (2.4%) 1 HIV/AIDS (23.3%) Road injuries (22.9%) 2 Tuberculosis (16.9%) Accidental threats to breathing (12.4%) 3 Road injuries (13.6%) HIV/AIDS (11.3%) 4 Lower respiratory infections (9.9%) Tuberculosis (9.2%)

2 4 5 Diarrhoeal diseases (7.2%) Interpersonal violence (8.5%)

1 5 - 6 Meningitis/encephalitis (2.7%) Lower respiratory infections (6.9%) 7 Accidental threats to breathing (2.7%) Diarrhoeal diseases (3.8%) 8 Endocrine nutritional,blood, immune (2.7%) Meningitis/encephalitis (2.7%) 9 Poisonings (including herbal) (2.0%) Drowning (2.6%) 10 Epilepsy (1.8%) Epilepsy (2.2%) 1 HIV/AIDS (24.6%) HIV/AIDS (18.2%) 2 Tuberculosis (14.8%) Tuberculosis (16.8%) 3 Lower respiratory infections (8.3%) Road injuries (11.0%) 4 Hypertensive heart disease (5.7%) Lower respiratory infections (8.5%)

6 4 5 Diarrhoeal diseases (5.0%) Hypertensive heart disease (4.3%)

2 5 - 6 Diabetes mellitus (4.6%) Ischaemic heart disease (3.4%) 7 Road injuries (4.4%) Diarrhoeal diseases (3.4%) 8 Cerebrovascular disease (4.4%) Cerebrovascular disease (3.1%) 9 Cervix (2.7%) Diabetes mellitus (2.8%) 10 Endocrine nutritional,blood, immune (2.6%) Accidental threats to breathing (2.3%) 1 Hypertensive heart disease (22.7%) Hypertensive heart disease (14.2%) 2 Cerebrovascular disease (14.7%) Cerebrovascular disease (9.3%) 3 Diabetes mellitus (10.3%) Lower respiratory infections (9.1%) 4 Lower respiratory infections (7.8%) Ischaemic heart disease (8.8%) 5 Ischaemic heart disease (6.7%) Diabetes mellitus (7.5%)

6 5 + 6 Diarrhoeal diseases (5.1%) COPD (5.2%) 7 Nephritis/nephrosis (2.9%) Tuberculosis (4.8%) 8 Tuberculosis (2.3%) Prostate (4.4%) 9 Cervix (2.2%) Diarrhoeal diseases (3.8%) 10 Endocrine nutritional,blood, immune (1.6%) Nephritis/nephrosis (3.6%)

Rank Maternal conditions All other causes 1 Other maternal (34.0%) n=25 HIV/AIDS (30.2%) n=1 656 2 Indirect maternal (26.3%) n=19 Tuberculosis (18.2%) n=1 000 3 Hypertension in pregnancy (21.9%) n=16 Lower respiratory infections (9.8%) n=537 4 Abortion (11.6%) n=9 Road injuries (6.2%) n=339 e a l 4 9 5 Maternal haemorrhage (6.2%) n=5 Diarrhoeal diseases (5.4%) n=295

1 5 - 6 Endocrine nutritional,blood, immune (2.9%) n=161 F e m 7 Hypertensive heart disease (2.5%) n=136 8 Meningitis/encephalitis (2.0%) n=112 9 Cerebrovascular disease (2.0%) n=111 10 Cervix (2.0%) n=111

426 SectionSection B: National B: Profile and Limpopo District Province Profiles

Annual trends, 2015/16–2019/20

Waterberg: DC36 Waterberg: DC36 e s n g l 5 i 10 10 100 2 100 o f a n i P r p l y

l TB DS client lost to i 8 8 Couple year 15 follow up rate [both protection rate [ | 80 13 80 sexes all ages | 9 DHIS] ETR/Tier.Net] 34 21 6 6 1 _ F a m 15 20 22 60 60 4 4 e 110 3 110 49 c a r

y 4 48 4 2 12 12 v e r i 100 3 100 TB DS death rate 48 Antenatal 1st visit 2 43 d e l [both sexes all coverage [female | 10 10 90 90 ages | a n d DHIS] ETR/Tier.Net] 8 8 80 80 e g n a c y

23 100 12 11 100 1 _ 2 P r 14.0 14.0 14 25 TB symptom 5 Delivery in 10 to 19 years and older screened in facility years in facility rate 13.5 20 13.5 50 50 [female | DHIS] rate [both sexes | DHIS] 34 13.0 13.0

0 0

17 17 150 150 90 90 28 TB symptom child Maternal mortality under 5 years 80 80 in facility ratio screened in facility rate [both sexes | [female | DHIS] 100 30 100 19 24 24 DHIS] 15 70 70 21 50 50 60 60

39 e n t 90 90 m e a t r 14 14 t Adult with viral 31 V Neonatal death in I load suppressed 85 85 facility rate [both rate 12 months 49 sexes | DHIS] 33 36 [both sexes 15+ 37 2 _ H years | DHIS] 47 12 12 80 80 19 47 o n i 17 27 24 s a t 80 20 80

u n i Child with viral 60 60 m Immunisation 40 load suppressed m i under 1 year rate 12 months d l coverage [both 70 70 [both sexes 0-14 36 h i 51 46 sexes | DHIS] 34 years | DHIS] 50 50

1 _ 3 C 49 60 60 7 e n t 40 6 m 8 8 80 80 e a t r t Death in facility Clients remaining 8

d 42 l on ART rate [both

h i under 5 years rate 70 70 [both sexes | sexes all ages | 10 6 6 DHIS] DHIS] 27 1 _ 4 C 29 26 24 60 60 4 4 6 25 25 C 25 U 16 4 37 4 20 20 Pneumonia case 39 Antiretroviral fatality under 5 3 39 3 effective coverage 34 years rate [both [both sexes 0-14 sexes <5 years | years | DHIS-Tier] 15 15 DHIS] 22 2 31 2 47 15 10 10 1 1 60 60 2 e n t 82 14 82 m 81 81 10 e a t

r 80 80 t Antiretroviral 50 50 TB DS treatment 79 79 effective coverage success rate [both 37 [both sexes 15+ sexes all ages | 78 28 78 21 years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 77 77 40 40 76 76 75 75 43 25 74 74 2

2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 50 11 50 F Y F Y F Y F Y F Y F Y Antiretroviral effective coverage Measure Names Rank [both sexes all 23 Prov av 1 43 ages | DHIS-Tier] 40 40 ZA av Ind Value 25 30 30 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

427 Section B: NationalProfile Limpopo and District Province Profiles

Waterberg: DC36 Waterberg: DC36 9 C

U 84 84 Age-standardised n a c e Expenditure per 4000 4000 prevalence of patient day non-raised blood 82 82 4 _ 5 F i equivalent (district pressure (index) 7 11 15 19 23 24 hospitals) [ | BAS 3500 3500 [both sexes 15+ real 2019/20 years | NiDS 80 80 prices] modelled] 3000 3000

78 78 e s e n t 3000 3000 a b e t

i Provincial & LG District Health Diabetes a n g e m 10 10 Services m prevalence [both 2500 2500 3 _ 2 D expenditure per sexes 15+ years | capita (uninsured) [ NiDS modelled] | BAS real 2019/20 16 12 prices] 10 10 2000 2000 5 9 7 5

1 0 40 40 C U Provincial & LG 1200 1200 Diabetes treatment 35 35 35 PHC expenditure coverage [both 40 per capita 1100 1100 sexes 15+ years | (uninsured) [ | BAS 42 NiDS modelled] 30 30 real 2019/20 1000 1000 45 prices] 46 25 47 25 900 900 o n i

e c t 45 45 500 500 36 Provincial & LG d e t Cervical cancer PHC expenditure screening per PHC 40 40 a n c e r coverage [female | 33 headcount [ | BAS 35 DHIS] 40 real 2019/20 400 400 29 prices] 3 _ C 35 36 35 1 2

C 9

U 88 10 88 12 12 11 s e a

12 d i

Tobacco Percentage of non-smoking 86 86 o f prevalence (index) deaths garbage 12 12

d e n codes [both sexes [both sexes 15+ 20 all ages | vital years | NiDS 84 84 B u r registration] modelled] 13 82 82 10 13 10 e n t

i 20 20 18 18 a c e s n p a t i y t

i Hospital beds per Percentage of l 10 000 target deaths ill-defined 15 15 population [ | DHIS [both sexes all 16 16 2000-2030 public 28 26 ages | vital 28 28 4 _ 1 F a c i sector] 25 registration] 24 10 18 17 10

14 14 7 y t 13 35 35

d e n s i Percentage of 46 Medical YLLs due to 25 25 k e r practitioners per 15 17 22 communicable, o r

w 100 000 population 30 30 maternal, perinatal, 44

h 44 t [both sexes | public nutrition causes

e a l sector] [both sexes | vital 20 20 registration] 25 25 4 _ 2 H

14 28 29 28 18 19 27 27 13 17 13 38 Percentage of 33 Pharmacists per 26 26 YLLs due to HIV 100 000 population 25 25 and TB [both [both sexes | public 12 12 24 24 sexes | vital sector] 23 23 registration] 11 11 22 22 21 21 20 20 180 180 45 10 16 16 Professional 170 170 18 Percentage of nurses per 100 21 000 population 23 YLLs due to 160 160 injuries [both sexes 26 [both sexes | public 14 14 | vital registration] 13 sector] 150 150 12 12 n e s a n d 45 45 c i C

e d i Percentage of P H 40 40 m YLLs due to Percentage Ideal 44 non-communicable 40 40 43 clinics [ | IC status] diseases [both 6 20 20 sexes | vital 13 48 registration] 35 2 35 4 _ 3 A c e s 48 7 0 10 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

428 SectionSection B: National B: Profile and Limpopo District Province Profiles

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

DistrictDistrict % percentagepopulation by ag populatione-gender group cbyom page-genderared to South A fgrouprica compared to South Africa

LP, Sekhukhune DM (DC47)

2000/01 2010/11 2020/21

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

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.9% 3.8% 1.5% 3.8% 4.2%

60-64 years 1.4% 1.6% 1.5%

55-59 years 1.6% 1.8% 1.7%

50-54 years 2.1% 1.9% 1.8%

45-49 years 1.4% 2.4% 2.3% 1.5% 2.2%

40-44 years 1.4% 2.4% 1.4% 2.4% 2.3% 2.8%

35-39 years 1.6% 3.0% 1.9% 2.8% 3.7% 3.8%

30-34 years 1.8% 2.9% 2.7% 3.5% 4.5% 4.6%

25-29 years 2.1% 3.4% 4.3% 4.4% 4.5% 4.3%

20-24 years 3.1% 4.2% 5.5% 5.5% 4.2% 4.1%

15-19 years 6.5% 6.5% 6.4% 6.2% 4.7% 4.5%

10-14 years 7.8% 7.7% 6.1% 5.9% 5.9% 5.6%

05-09 years 7.6% 7.6% 5.7% 5.5% 6.2% 6.0%

00-04 years 6.4% 6.3% 6.5% 6.3% 6.1% 5.9%

8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars

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

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.

429 Section B: NationalProfile Limpopo and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 LP, Sekhukhune DM: DC47, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 76% 7% 11% 6% 76% 7% 9% 8% causes and 5-14 44% 12% 20% 23% 43% 14% 14% 29% single leading 15-24 32% 31% 20% 17% 21% 10% 19% 50% causes 25-64 27% 35% 33% 4% 24% 30% 30% 16% 65+ 27% 3% 68% 2% 25% 6% 65% 3% Total 31% 19% 46% 4% 29% 19% 39% 13% Broadcause Injury NCD Rank Female Male 1 Diarrhoeal diseases (25.4%) Diarrhoeal diseases (25.2%) HIV and TB 2 Lower respiratory infections (25.2%) Lower respiratory infections (24.4%) Comm_mat_peri_nut 3 Preterm birth complications (7.5%) Preterm birth complications (7.5%)

s 4 Protein-energy malnutrition (6.1%) Protein-energy malnutrition (5.6%) Prov, District 5 HIV/AIDS (5.5%) HIV/AIDS (5.3%) LP, Sekhukhune DM: DC47 y e a r 6 Birth asphyxia (4.3%) Birth asphyxia (5.0%) Show history 5

< 7 Septicaemia (3.0%) Septicaemia (3.0%) 8 Meningitis/encephalitis (2.0%) Poisonings (including herbal) (2.6%) Percentages are shown 9 Poisonings (including herbal) (2.0%) Drowning (2.1%) according to all the deaths 10 Other perinatal conditions (1.5%) Other perinatal conditions (2.1%) within the age/gender 1 Lower respiratory infections (19.3%) Diarrhoeal diseases (18.5%) category of each box, 2 Diarrhoeal diseases (17.9%) Lower respiratory infections (18.0%) although only the leading 3 Road injuries (13.8%) Road injuries (15.8%) 10 causes are displayed. 4 HIV/AIDS (8.6%) Drowning (9.5%) 5 Tuberculosis (4.8%) HIV/AIDS (8.4%) 1 4

5 - 6 Septicaemia (4.8%) Tuberculosis (6.9%) 7 Accidental threats to breathing (4.1%) Septicaemia (5.1%) 8 Epilepsy (3.2%) Epilepsy (3.4%) 9 Drowning (2.9%) Accidental threats to breathing (3.2%) 10 Hypertensive heart disease (2.7%) Meningitis/encephalitis (2.8%) 1 HIV/AIDS (22.2%) Road injuries (22.7%) 2 Lower respiratory infections (16.7%) Accidental threats to breathing (13.2%) 3 Tuberculosis (10.3%) Lower respiratory infections (10.9%) 4 Road injuries (8.6%) Tuberculosis (6.4%)

2 4 5 Diarrhoeal diseases (8.6%) Diarrhoeal diseases (5.2%)

1 5 - 6 Accidental threats to breathing (4.4%) Interpersonal violence (4.9%) 7 Endocrine nutritional,blood, immune (2.7%) Mechanical forces (4.6%) 8 Diabetes mellitus (2.5%) HIV/AIDS (4.3%) 9 Meningitis/encephalitis (2.2%) Epilepsy (3.6%) 10 Septicaemia (2.1%) Drowning (2.8%) 1 HIV/AIDS (24.0%) HIV/AIDS (16.8%) 2 Lower respiratory infections (15.4%) Lower respiratory infections (14.4%) 3 Tuberculosis (11.0%) Tuberculosis (12.9%) 4 Diarrhoeal diseases (6.8%) Road injuries (8.7%)

6 4 5 Hypertensive heart disease (5.0%) Diarrhoeal diseases (5.5%)

2 5 - 6 Diabetes mellitus (5.0%) Cerebrovascular disease (4.8%) 7 Cerebrovascular disease (4.9%) Hypertensive heart disease (4.6%) 8 Cervix (2.4%) Diabetes mellitus (3.5%) 9 Endocrine nutritional,blood, immune (2.3%) Accidental threats to breathing (2.7%) 10 Road injuries (2.3%) Septicaemia (2.1%) 1 Cerebrovascular disease (24.1%) Cerebrovascular disease (16.2%) 2 Hypertensive heart disease (17.2%) Lower respiratory infections (15.7%) 3 Lower respiratory infections (15.6%) Hypertensive heart disease (14.7%) 4 Diabetes mellitus (7.7%) Diabetes mellitus (6.9%) 5 Diarrhoeal diseases (6.7%) Diarrhoeal diseases (5.6%)

6 5 + 6 Septicaemia (3.1%) Tuberculosis (4.3%) 7 Cardiomyopathy (2.2%) Prostate (2.9%) 8 Ischaemic heart disease (2.1%) COPD (2.8%) 9 Nephritis/nephrosis (1.7%) Septicaemia (2.8%) 10 Cervix (1.5%) Ischaemic heart disease (2.8%)

Rank Maternal conditions All other causes 1 Hypertension in pregnancy (25.6%) n=29 HIV/AIDS (29.4%) n=2 896 2 Other maternal (24.5%) n=28 Lower respiratory infections (16.9%) n=1 661 3 Indirect maternal (21.6%) n=25 Tuberculosis (13.3%) n=1 305 4 Maternal haemorrhage (15.1%) n=17 Diarrhoeal diseases (7.5%) n=738 e a l 4 9 5 Abortion (13.2%) n=15 Road injuries (3.2%) n=312

1 5 - 6 Endocrine nutritional,blood, immune (2.4%) n=241 F e m 7 Cerebrovascular disease (2.3%) n=226 8 Hypertensive heart disease (2.2%) n=216 9 Diabetes mellitus (2.2%) n=214 10 Septicaemia (2.1%) n=210

430 SectionSection B: National B: Profile and Limpopo District Province Profiles

Annual trends, 2015/16–2019/20 Sekhukhune: DC47 Sekhukhune: DC47 e s n g l i 10 10 80 80 o f a n i P r p l 22 y

l TB DS client lost to i Couple year 8 8 70 16 70 follow up rate [both protection rate [ | sexes all ages | 27 11 DHIS] 60 60 ETR/Tier.Net] 30 37 6 6 1 _ F a m 35 19 50 47 45 50 4 4

e 15 15 90 90 51 c a r 14 50 14 y 13 13 v e r i 85 19 85 TB DS death rate 12 12 Antenatal 1st visit 18 47 d e l [both sexes all 11 11 coverage [female | 22 44 ages | 10 10 a n d DHIS] 15 21 80 80 ETR/Tier.Net] 9 9 8 8 75 21 75 7 7 e g n a c y 100 100 14 14 21 23

1 _ 2 P r 25 TB symptom 5 years and older Delivery in 10 to 19 13 13 years in facility rate screened in facility 50 50 [female | DHIS] rate [both sexes | 17 DHIS] 12 12 42 11 11 0 0 21 150 32 150 TB symptom child 80 80 34 Maternal mortality under 5 years in facility ratio screened in facility 100 100 [female | DHIS] 22 rate [both sexes | 20 DHIS] 60 60 16 20 39 50 9 50

e n t 90 90 14 14 m e a t r

t Adult with viral 37 29 38 V I load suppressed Neonatal death in 12 12 facility rate [both rate 12 months 85 85 sexes | DHIS] [both sexes 15+ 2 _ H years | DHIS] 47 10 12 14 10 43 11 42 o n i 80 80 s a t

u n i Child with viral

m Immunisation 70 70 load suppressed 60 60 m 37 i under 1 year 52 48 47 rate 12 months d

l 36 44 coverage [both 50 [both sexes 0-14 h i 60 60 37 sexes | DHIS] years | DHIS]

1 _ 3 C 50 50 52 50 38 50 80 80

e n t 45 m 10 10

e a t 18 r t Death in facility Clients remaining 70 20 70 d 11 l on ART rate [both 11 h i under 5 years rate 8 8 [both sexes | sexes all ages | DHIS] DHIS] 36 40 35

1 _ 4 C 6 6 60 60 34 29

4 4 6 25 25 C

40 44 U 4 4 36 24 Pneumonia case Antiretroviral 20 20 fatality under 5 effective coverage 24 43 years rate [both 3 3 [both sexes 0-14 sexes <5 years | years | DHIS-Tier] 28 15 15 DHIS] 28 32 2 2 45

82 82 e n t 12 m 50 50 20 14 e a t

r 80 80 12 t Antiretroviral TB DS treatment 32 19 effective coverage success rate [both [both sexes 15+ sexes all ages | 78 78 years | DHIS-Tier] 40 40 2 _ 1 T B ETR/Tier.Net] 11 76 76 41

50 12 50 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 15 F Y F Y F Y F Y F Y F Y Antiretroviral 14 effective coverage Measure Names Rank [both sexes all 40 40 Prov av ages | DHIS-Tier] 1 52 12 ZA av Ind Value 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

431 Section B: NationalProfile Limpopo and District Province Profiles

Sekhukhune: DC47 Sekhukhune: DC47

9 3400 3400 C

U 84 84 Age-standardised n a c e 14 17 Expenditure per prevalence of 9 10 3200 3200 5 6 patient day non-raised blood 82 82 4 _ 5 F i equivalent (district pressure (index) hospitals) [ | BAS 3000 3000 [both sexes 15+ real 2019/20 years | NiDS 80 80 prices] modelled] 2800 2800 78 78

e s 15 15 e n t 34 2400 2400 a b e t

i Provincial & LG 29 District Health Diabetes a n g e m Services

m prevalence [both 2200 2200 3 _ 2 D 10 10 expenditure per sexes 15+ years | 23 capita (uninsured) [ NiDS modelled] 18 | BAS real 2019/20 2000 2000 13 prices] 10 5 5 1800 1800

1 0 12 C

U 40 40 1200 1200 19 Provincial & LG Diabetes treatment PHC expenditure coverage [both 34 per capita sexes 15+ years | (uninsured) [ | BAS 30 30 1000 1000 NiDS modelled] 41 real 2019/20 48 prices] 51 20 20 800 800 o n i 45 45 e c t 500 500 22 27 Provincial & LG d e t Cervical cancer 40 40 PHC expenditure screening per PHC

a n c e r coverage [female | 41 headcount [ | BAS DHIS] 35 35 real 2019/20 400 400 39 prices] 3 _ C 49 30 39 30

1 2 95 95 14 14 4 4 4 4 4 4 C U s e a d i

Tobacco Percentage of non-smoking 90 90 o f 12 12 prevalence (index) deaths garbage

d e n codes [both sexes [both sexes 15+ all ages | vital years | NiDS B u r 10 10 registration] modelled] 85 85 3 3 2 8 8

e n t 20 20 i 18 18 a c e s n p a t i y t

i Hospital beds per Percentage of

l 16 16 10 000 target deaths ill-defined population [ | DHIS [both sexes all 15 15 2000-2030 public 14 14 ages | vital 27 4 _ 1 F a c i sector] registration] 12 12 23 44 47 46 47 48 46 10 25 10 y t 30 50 30 51

d e n s i 30 30 Percentage of 51 Medical YLLs due to k e r practitioners per communicable, 25 25 o r

w 100 000 population maternal, perinatal, h

t [both sexes | public nutrition causes

e a l sector] 20 20 [both sexes | vital 20 20 38 40 registration] 46 46 4 _ 2 H

12 18 12 27 27 26 26 25 18 25 11 11 Percentage of Pharmacists per YLLs due to HIV 24 24 100 000 population 22 and TB [both 23 23 [both sexes | public 10 10 29 sexes | vital 22 19 22 sector] registration] 21 21 9 9 20 20 38 19 9 19 180 180

Professional Percentage of 14 14 nurses per 100 160 160 000 population YLLs due to injuries [both sexes [both sexes | public | vital registration] 7 sector] 12 7 12 140 140 31 32 32 33 4 n e s a n d 45 45 c i C

e d i Percentage of P H 40 42 40 m 41 YLLs due to Percentage Ideal 36 non-communicable 40 12 40 clinics [ | IC status] diseases [both 20 20 9 sexes | vital registration]

4 _ 3 A c e s 47 23 35 35 0 11 0 11 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

432