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SectionSection B: B: Profile National Western and DistrictCape Province Profiles

18 Province

Cape Town Metropolitan Municipality (CPT)

The City of Metropolitan municipality is situated on the southern peninsula of the Western .a The Metropolitan Municipality incorporates eight health sub-districts, namely: Cape Town Eastern, Cape Town Northern, Cape Town Southern, Cape Town Western, , Klipfontein, Mitchell’s Plain and . Cities/Towns: Athlone, Atlantis, , Bellville, Blackheath, Blouberg, , , , Cape Town, Delft, , Elsies Rivier, , Goodwood, Gordon’s Bay, , Guguletu, , Khayelitsha, , , , Langa, Macassar, Matroosfontein, , , , Muizenberg, Noordhoek, Nyanga, Parow, Philadelphia, Philippi, , Scarborough, Simon’s Town, Sir Lowry’s Pass, , Southern Suburbs, Strand, Area: 2 446km² Population (2019)b: 4 194 178

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

WC, Cape Town MM (CPT)

2000/01 2010/11 2020/21

South Africa % of total population [Male | Female] - lines % 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+ 2.0% 3.0% 2.1% 3.1% 2.8% 4.0%

60-64 years 1.2% 1.3% 1.7% 1.6% 2.0%

55-59 years 1.5% 1.8% 1.7% 2.1% 2.1% 2.5%

50-54 years 2.0% 2.5% 2.2% 2.7% 2.5% 2.8%

45-49 years 2.5% 2.9% 2.8% 3.2% 3.2% 3.1%

40-44 years 3.1% 3.7% 3.3% 3.6% 3.7% 3.6%

35-39 years 3.8% 4.2% 4.1% 3.9% 4.6% 4.3%

30-34 years 4.1% 4.5% 4.5% 4.3% 5.1% 4.8%

25-29 years 4.7% 4.7% 5.2% 5.0% 4.6% 4.5%

20-24 years 4.5% 4.7% 5.1% 5.1% 3.9% 3.8%

15-19 years 4.8% 4.9% 4.1% 4.1% 3.5% 3.5%

10-14 years 4.9% 4.9% 3.8% 3.6% 4.0% 3.9%

05-09 years 4.6% 4.5% 4.0% 3.8% 4.1% 4.0%

00-04 years 4.5% 4.3% 4.8% 4.6% 4.0% 3.8%

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.

a Available from: https://municipalities.co.za/overview/6/city-of-cape-town-metropolitan-municipality. b Mid-year Population Estimates 2019, Stats SA.

481 Section B: NationalProfile Western and District Cape ProfilesProvince

Percentage of deaths by broad cause and leading causes, 2012–2017 WC, Cape Town MM: CPT, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 62% 4% 28% 6% 63% 4% 25% 8% causes and 5-14 24% 8% 35% 33% 18% 5% 29% 47% single leading 15-24 10% 39% 24% 27% 3%8% 9% 80% causes 25-64 6% 28% 60% 6% 4% 22% 49% 25% 65+ 7%2% 89% 3% 5%3% 87% 4% Total 10% 14% 71% 5% 7% 14% 57% 21% Broadcause Injury NCD Rank Female Male 1 Preterm birth complications (17.2%) Preterm birth complications (19.2%) HIV and TB 2 Lower respiratory infections (11.9%) Lower respiratory infections (11.4%) Comm_mat_peri_nut 3 Diarrhoeal diseases (9.2%) Diarrhoeal diseases (8.7%)

s 4 Sepsis/other newborn infectious (6.0%) Birth asphyxia (6.9%) Prov, District 5 Birth asphyxia (6.0%) Sepsis/other newborn infectious (6.2%) WC, Cape Town MM: CPT y e a r 6 Congenital heart anomalies (5.5%) Congenital heart anomalies (5.5%) Show history 5

< 7 Other perinatal conditions (4.9%) Other perinatal conditions (4.4%) 8 Other respiratory (4.2%) Other respiratory (3.9%) Percentages are shown 9 Other congenital abnormalities (4.1%) Other congenital abnormalities (3.7%) according to all the deaths 10 Septicaemia (3.3%) HIV/AIDS (2.9%) within the age/gender 1 Road injuries (9.4%) Road injuries (9.7%) category of each box, 2 Fires, hot substances (9.4%) Drowning (9.7%) although only the leading 3 Accidental threats to breathing (5.4%) Fires, hot substances (9.4%) 10 causes are displayed. 4 HIV/AIDS (5.1%) Mechanical forces (6.7%) 5 Leukaemia (4.5%) Accidental threats to breathing (4.7%) 1 4

5 - 6 Cardiomyopathy (3.6%) Interpersonal violence (3.7%) 7 Tuberculosis (3.6%) Leukaemia (3.5%) 8 Mechanical forces (3.4%) HIV/AIDS (3.4%) 9 Meningitis/encephalitis (3.3%) Other unintentional injuries (2.7%) 10 Lower respiratory infections (2.5%) 1 HIV/AIDS (25.1%) Mechanical forces (33.8%) 2 Tuberculosis (14.4%) Interpersonal violence (33.4%) 3 Mechanical forces (6.4%) Accidental threats to breathing (4.8%) 4 Interpersonal violence (6.0%) Tuberculosis (4.6%)

2 4 5 Accidental threats to breathing (4.6%) Road injuries (3.6%)

1 5 - 6 Fires, hot substances (3.8%) HIV/AIDS (3.3%) 7 Road injuries (3.2%) Fires, hot substances (2.0%) 8 Endocrine nutritional,blood, immune (2.2%) Lower respiratory infections (1.0%) 9 Other musculo-skeletal (2.1%) Drowning (0.9%) 10 Lower respiratory infections (2.1%) Other neurological conditions (0.7%) 1 HIV/AIDS (19.1%) HIV/AIDS (12.4%) 2 Tuberculosis (8.4%) Tuberculosis (9.9%) 3 Cerebrovascular disease (6.4%) Mechanical forces (9.3%) 4 Ischaemic heart disease (6.0%) Ischaemic heart disease (7.4%)

6 4 5 Breast (5.5%) Interpersonal violence (7.4%)

2 5 - 6 Diabetes mellitus (4.7%) Trachea/bronchi/lung (5.8%) 7 Hypertensive heart disease (4.1%) Cerebrovascular disease (4.6%) 8 Trachea/bronchi/lung (3.6%) COPD (3.8%) 9 Cervix (2.8%) Hypertensive heart disease (2.7%) 10 COPD (2.5%) Accidental threats to breathing (2.6%) 1 Ischaemic heart disease (14.8%) Ischaemic heart disease (16.1%) 2 Cerebrovascular disease (12.5%) Cerebrovascular disease (9.3%) 3 Hypertensive heart disease (8.4%) Trachea/bronchi/lung (7.7%) 4 Diabetes mellitus (6.4%) COPD (6.9%) 5 Trachea/bronchi/lung (5.0%) Prostate (5.9%)

6 5 + 6 COPD (4.6%) Hypertensive heart disease (4.7%) 7 Alzheimer’s and other dementias (4.2%) Diabetes mellitus (4.5%) 8 Breast (4.1%) Lower respiratory infections (3.3%) 9 Lower respiratory infections (3.8%) Colo-rectal (2.9%) 10 Colo-rectal (2.7%) Tuberculosis (2.4%)

Rank Maternal conditions All other causes 1 Other maternal (31.4%) n=88 HIV/AIDS (31.8%) n=6 108 2 Indirect maternal (30.4%) n=85 Tuberculosis (12.3%) n=2 371 3 Hypertension in pregnancy (18.1%) n=51 Breast (3.9%) n=745 4 Abortion (12.4%) n=35 Cerebrovascular disease (3.4%) n=661 e a l 4 9 5 Maternal haemorrhage (5.2%) n=15 Cervix (2.7%) n=516

1 5 - 6 Maternal sepsis (2.4%) n=7 Interpersonal violence (2.4%) n=460 F e m 7 Mechanical forces (2.3%) n=448 8 Ischaemic heart disease (2.3%) n=437 9 Lower respiratory infections (2.3%) n=436 10 Diabetes mellitus (2.1%) n=399

482 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Annual trends, 2015/16–2019/20 Cape Town: CPT Cape Town: CPT e s n g l 12 12 6 i 39 o f a n i 80 8 80 P r p l 45 46 y

l 20 TB DS client lost to i Couple year 10 10 follow up rate [both 46 protection rate [ | 25 70 20 70 sexes all ages | DHIS] ETR/Tier.Net] 8 8 1 _ F a m 60 22 60 e 12 7 7 c a r y 90 90

v e r 6 6 i 12 TB DS death rate Antenatal 1st visit d e l [both sexes all coverage [female | ages | 5 5

a n d 17 DHIS] 26 ETR/Tier.Net] 80 80 19 4 4 18 4 5 4 4 e g n a c y 90 90 13 13 80 80 1 _ 2 P r 70 70 TB symptom 5 12 12 60 60 Delivery in 10 to 19 years and older 50 50 years in facility rate screened in facility 52 [female | DHIS] 11 11 rate [both sexes | 40 52 40 DHIS] 30 52 30 10 10 20 20 10 7 5 10 10

80 80 TB symptom child 48 Maternal mortality 100 100 under 5 years 60 60 in facility ratio screened in facility [female | DHIS] rate [both sexes | 48 13 DHIS] 15 40 40 4 10 12 50 17 50 50 94 94 e n t 7

m 11 11 e a t

r 92 92

12 12 t Adult with viral V Neonatal death in I load suppressed facility rate [both rate 12 months 90 90 [both sexes 15+ sexes | DHIS] 10 10 17 2 _ H years | DHIS] 12 10 88 88 7 9 8 8 75 75 o n i 11 9 90 12 90

s a t 9 8 15 u n i Child with viral

m Immunisation 16 load suppressed 70 14 70 m i under 1 year rate 12 months d l coverage [both 80 80 [both sexes 0-14 h i sexes | DHIS] 11 years | DHIS] 65 65 1 _ 3 C 70 70 32 e n t

m 65 65 e a t

r 35 t Death in facility Clients remaining d l 4 4 on ART rate [both h i under 5 years rate 60 60 [both sexes | sexes all ages | 36 DHIS] DHIS] 1 _ 4 C 2 2 5 6 7 7 55 55 4 7 36 6

3 3 C 26 12 26 U 21 18 24 24 Pneumonia case 2 2 Antiretroviral fatality under 5 effective coverage years rate [both [both sexes 0-14 22 22 sexes <5 years | years | DHIS-Tier] DHIS] 1 1 7 20 20 6 6 6 6 5 0 0

e n t 82 20 82 m 40 40 31 e a t r t 27 Antiretroviral 15 TB DS treatment 80 16 80 success rate [both effective coverage sexes all ages | [both sexes 15+ years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 78 78 30 30

45 76 41 76

40 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 30 F Y F Y F Y F Y F Y F Y Antiretroviral 15 effective coverage 35 35 Measure Names Rank [both sexes all Prov av 1 41 ages | DHIS-Tier] 30 30 ZA av 45 Ind Value 25 25 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

483 Section B: NationalProfile Western and District Cape ProfilesProvince

Cape Town: CPT Cape Town: CPT

9 3200 3200 C 18 U

Age-standardised 19 n a c e Expenditure per 3000 3000 prevalence of 21 patient day non-raised blood 80 21 80 4 _ 5 F i equivalent (district pressure (index) 20 2800 2800 hospitals) [ | BAS [both sexes 15+ 22 real 2019/20 years | NiDS prices] 2600 2600 modelled] 75 75 2400 2400 e s e n t 45

a b e t 14 14

i Provincial & LG 2000 2000 40 District Health Diabetes a n g e m 34 Services m prevalence [both 3 _ 2 D expenditure per sexes 15+ years | 12 32 12 capita (uninsured) [ 1900 1900 NiDS modelled] 28 23 | BAS real 2019/20 10 10 prices] 1800 1800

1 0 40 40

C 1300 1300 U 23 Provincial & LG Diabetes treatment 28 PHC expenditure 35 35 coverage [both per capita 1200 1200 sexes 15+ years | 33 (uninsured) [ | BAS NiDS modelled] 34 real 2019/20 prices] 30 37 30 38 1100 1100 o n i

e c t 45 45 500 500 Provincial & LG d e t Cervical cancer PHC expenditure screening per PHC 450 450 a n c e r coverage [female | headcount [ | BAS 32 DHIS] 40 40 real 2019/20 25 35 40 prices] 3 _ C 34 400 400 30 1 2

C 80 80 U s e a 13 13 d i

Tobacco Percentage of non-smoking o f deaths garbage prevalence (index) 75 75 12 12 d e n codes [both sexes [both sexes 15+ all ages | vital years | NiDS B u r 42 registration] 11 11 modelled] 43 43 70 44 70 19 15 44 44 14 10 10 e n t

i 17 15 15 22 17 22 17 14 14 a c e s 17 n p a t 17 i y

t 13 13

i Hospital beds per Percentage of l 16 10 000 target 20 20 deaths ill-defined 12 12 population [ | DHIS [both sexes all 11 11 2000-2030 public ages | vital 10 10

4 _ 1 F a c i sector] registration] 9 9 18 18 8 12 12 8 7 8 7 y t 7

d e n s i Percentage of

Medical 8 YLLs due to k e r practitioners per communicable, 15 15 o r 40 40 w 100 000 population maternal, perinatal, h

t [both sexes | public nutrition causes

e a l sector] 14 13 [both sexes | vital registration] 10 10 10 9 9

4 _ 2 H 30 30

18 18 25 25 10 10 11 9 Percentage of Pharmacists per 16 16 YLLs due to HIV 100 000 population and TB [both [both sexes | public 14 14 sexes | vital sector] 20 20 registration] 3 6 12 12 3

51 140 140 20 52 51 20 Professional Percentage of nurses per 100 18 18 000 population YLLs due to 120 120 injuries [both sexes [both sexes | public | vital registration] sector] 38 16 16 38 40 39

100 100 14 14 100 100 55 55 n e s a n d 7

47 c i C 20

e d i Percentage of 46

P H 47 m 19 YLLs due to 50 50 Percentage Ideal 50 50 non-communicable clinics [ | IC status] diseases [both sexes | vital 45 45 registration] 4 _ 3 A c e s 46 0 11 35 0 40 40 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

484 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

West Coast District Municipality (DC1)

The West Coast District Municipalityc is a Category C municipality located in the Western Cape Province. It comprises five local municipalities: Swartland, Bergrivier, Matzikama, , and . Cities/Towns: , Aurora, , Chatsworth, , Clanwilliam, Darling, Doring Bay, Ebenhaezer, , , , , Hopefield, Jacobs Bay, , , , Koekenaa, , Lamberts Bay, , , , Malmesbury, Molsvlei, , , Paternoster, , Porterville, Putsekloof, , Riebeeck Kasteel, Riebeeck West, , Riverlands, Saldanha, , Stofkraal, Strandfontein, , , , , , Area: 31 119km² Population (2019)d: 470 157

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

WC, West Coast DM (DC1)

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+ 2.3% 3.0% 2.0% 2.8% 2.0% 3.0%

60-64 years 1.4% 1.2% 1.3% 1.6% 1.4% 1.9%

55-59 years 1.7% 1.9% 1.9% 2.0% 2.0% 2.4%

50-54 years 2.1% 2.4% 2.3% 2.6% 2.5% 2.8%

45-49 years 2.8% 2.7% 2.9% 3.2% 3.0% 3.0%

40-44 years 3.2% 3.5% 3.4% 3.7% 3.2% 3.1%

35-39 years 4.0% 4.1% 3.9% 3.8% 4.3% 4.1%

30-34 years 4.5% 4.6% 3.8% 3.7% 5.1% 4.7%

25-29 years 4.6% 4.4% 4.8% 4.6% 4.8% 4.6%

20-24 years 3.6% 3.5% 5.1% 5.1% 4.1% 4.0%

15-19 years 4.4% 4.3% 4.4% 4.5% 3.8% 3.9%

10-14 years 5.1% 5.1% 4.1% 4.1% 4.3% 4.2%

05-09 years 5.0% 5.1% 4.4% 4.3% 4.5% 4.4%

00-04 years 4.7% 4.7% 5.0% 4.9% 4.4% 4.4%

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/147/west-coast-district-municipality. d Mid-year Population Estimates 2019, Stats SA.

485 Section B: NationalProfile Western and District Cape ProfilesProvince

Percentage of deaths by broad cause and leading causes, 2012–2017 WC, West Coast DM: DC1, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 65% 5% 21% 10% 67% 6% 17% 10% causes and 5-14 20% 4% 24% 52% 17% 4% 17% 61% single leading 15-24 10% 45% 16% 29% 4%11% 10% 76% causes 25-64 4% 30% 58% 7% 3% 29% 49% 19% 65+ 5%3% 90% 2% 4%6% 87% 3% Total 7% 16% 71% 6% 6% 19% 58% 16% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (19.9%) Preterm birth complications (21.6%) HIV and TB 2 Preterm birth complications (16.9%) Lower respiratory infections (17.8%) Comm_mat_peri_nut 3 Diarrhoeal diseases (12.8%) Diarrhoeal diseases (10.1%)

s 4 Birth asphyxia (6.7%) Birth asphyxia (8.7%) Prov, District 5 Other congenital abnormalities (5.4%) Drowning (5.8%) WC, West Coast DM: DC1 y e a r 6 Upper respiratory infections (4.8%) Upper respiratory infections (5.0%) Show history 5

< 7 Other respiratory (4.4%) Congenital heart anomalies (4.7%) 8 Other perinatal conditions (4.1%) HIV/AIDS (4.7%) Percentages are shown 9 Congenital heart anomalies (3.7%) Other respiratory (4.5%) according to all the deaths 10 Drowning (3.2%) Other perinatal conditions (3.9%) within the age/gender 1 Accidental threats to breathing (30.1%) Drowning (82.4%) category of each box, 2 Drowning (26.7%) Mechanical forces (6.5%) although only the leading 3 Lower respiratory infections (17.2%) Tuberculosis (5.6%) 10 causes are displayed. 4 Fires, hot substances (14.7%) Accidental threats to breathing (5.5%) 5 Exposure to natural forces (11.2%) 1 4

5 - 6 7 8 9 10 1 Tuberculosis (29.0%) Interpersonal violence (38.3%) 2 HIV/AIDS (25.6%) Mechanical forces (20.0%) 3 Interpersonal violence (11.9%) Accidental threats to breathing (10.9%) 4 Accidental threats to breathing (7.3%) Tuberculosis (8.5%)

2 4 5 Mechanical forces (5.5%) Drowning (6.8%)

1 5 - 6 Drowning (4.5%) HIV/AIDS (3.2%) 7 Lower respiratory infections (4.3%) Fires, hot substances (2.9%) 8 Fires, hot substances (3.0%) Epilepsy (1.9%) 9 Endocrine nutritional,blood, immune (2.7%) Ischaemic heart disease (1.5%) 10 Epilepsy (2.4%) Lower respiratory infections (1.3%) 1 HIV/AIDS (15.4%) Tuberculosis (18.2%) 2 Tuberculosis (14.8%) HIV/AIDS (11.0%) 3 Cerebrovascular disease (6.9%) Ischaemic heart disease (8.3%) 4 COPD (6.1%) Interpersonal violence (7.3%)

6 4 5 Ischaemic heart disease (5.9%) COPD (6.8%)

2 5 - 6 Breast (4.9%) Trachea/bronchi/lung (5.2%) 7 Diabetes mellitus (4.2%) Cerebrovascular disease (4.3%) 8 Trachea/bronchi/lung (4.2%) Accidental threats to breathing (3.9%) 9 Hypertensive heart disease (4.1%) Mechanical forces (2.6%) 10 Cervix (2.7%) Drowning (2.3%) 1 Cerebrovascular disease (16.3%) Ischaemic heart disease (16.5%) 2 Ischaemic heart disease (15.4%) Cerebrovascular disease (11.9%) 3 Hypertensive heart disease (11.0%) COPD (11.6%) 4 Diabetes mellitus (7.2%) Trachea/bronchi/lung (6.7%) 5 COPD (6.4%) Prostate (6.5%)

6 5 + 6 Trachea/bronchi/lung (4.6%) Tuberculosis (5.2%) 7 Breast (3.6%) Hypertensive heart disease (4.7%) 8 Lower respiratory infections (3.3%) Diabetes mellitus (4.4%) 9 Alzheimer’s and other dementias (2.6%) Lower respiratory infections (2.3%) 10 Tuberculosis (2.1%) Colo-rectal (2.2%)

Rank Maternal conditions All other causes 1 Other maternal (50.3%) n=5 HIV/AIDS (27.2%) n=577 2 Indirect maternal (49.7%) n=5 Tuberculosis (22.4%) n=476 3 Interpersonal violence (3.9%) n=83 4 Breast (3.4%) n=71 e a l 4 9 5 Cerebrovascular disease (3.1%) n=65

1 5 - 6 Ischaemic heart disease (2.9%) n=61 F e m 7 Accidental threats to breathing (2.8%) n=60 8 Cervix (2.6%) n=56 9 Endocrine nutritional,blood, immune (2.2%) n=47 10 Drowning (2.1%) n=44

486 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Annual trends, 2015/16–2019/20

West Coast: DC1 West Coast: DC1 e s

n g 12 12 90 90 l 2 i o f a n i 17 7 P r p l 80 80 48

y 10 10 l 18 TB DS client lost to i Couple year follow up rate [both 23 protection rate [ | 14 sexes all ages | 42 36 DHIS] 70 13 70 ETR/Tier.Net] 8 8 1 _ F a m 60 60

e 7 7 90 90 c a r y 6 6 v e r i TB DS death rate Antenatal 1st visit 80 80 d e l [both sexes all coverage [female | 5 5 ages | 8 a n d DHIS] 37 42 ETR/Tier.Net] 70 42 70 4 6 4 38 5 37 40 3 e g n a c y 3 3 90 90 36 31 33 80 42 80 1 _ 2 P r 16 16 38 70 31 70 TB symptom 5 60 60 years and older Delivery in 10 to 19 50 50 years in facility rate 14 14 screened in facility [female | DHIS] rate [both sexes | 40 40 DHIS] 30 30 12 12 20 20 10 10

33 80 32 80 100 100 TB symptom child under 5 years Maternal mortality 14 11 22 in facility ratio 17 screened in facility 60 60 [female | DHIS] 50 50 rate [both sexes | 5 DHIS] 4

0 1 0 40 40 e n t

m 92 92 12 12 e a t r

t Adult with viral V Neonatal death in I load suppressed 10 10 90 90 facility rate [both rate 12 months 26 sexes | DHIS] 6 7 [both sexes 15+

2 _ H 34 years | DHIS] 8 5 8 88 88 4 31 6 1 6 o n i 70 70 s a t

u n i 80 80 Child with viral

m Immunisation load suppressed 60 60 m i under 1 year 31 rate 12 months 45

d 38 l coverage [both 45 [both sexes 0-14 h i sexes | DHIS] 70 27 43 70 years | DHIS] 50 50

1 _ 3 C 49 49 40 51 40 60 60 6 6 e n t

m 39 e a t r

t 60 60 Death in facility 4 4 Clients remaining d l on ART rate [both 46

h i under 5 years rate [both sexes | sexes all ages | DHIS] DHIS] 44 2 2 50 50 1 _ 4 C 1 1 1 2 1 1 48 0 0 6

3 3 C 25 25 U 21 Pneumonia case 2 2 Antiretroviral fatality under 5 effective coverage 38 20 20 years rate [both [both sexes 0-14 sexes <5 years | 1 1 years | DHIS-Tier] DHIS] 8

4 4 37 0 1 4 3 0 15 15

e n t 18 5 m 10 40 40

e a t 82 82 r

t Antiretroviral TB DS treatment 25 effective coverage success rate [both 80 80 [both sexes 15+ sexes all ages | years | DHIS-Tier] 30 30 2 _ 1 T B ETR/Tier.Net] 49 78 78 47 46 76 76 40 40 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 Antiretroviral effective coverage Measure Names Rank [both sexes all 30 30 Prov av 1 49 ages | DHIS-Tier] 49 ZA av 48 Ind Value 45 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

487 Section B: NationalProfile Western and District Cape ProfilesProvince

West Coast: DC1 West Coast: DC1 9 C

U 80 80 Age-standardised n a c e 3000 3000 Expenditure per prevalence of non-raised blood patient day 75 75 4 _ 5 F i equivalent (district pressure (index) hospitals) [ | BAS [both sexes 15+ 2500 2500 real 2019/20 years | NiDS 70 70 prices] modelled] 50 51 51 51 51 51 2000 2000 e s e n t 52 30 52 30 52 a b e t 2100 2100 i 52 Provincial & LG 52 District Health Diabetes 52 a n g e m Services

m prevalence [both 2000 2000 3 _ 2 D expenditure per sexes 15+ years | 20 20 capita (uninsured) [ NiDS modelled] | BAS real 2019/20 1900 1900 prices] 10 10 1800 1800

1 0 40 40 C U Provincial & LG 1200 1200 Diabetes treatment PHC expenditure per capita coverage [both 35 35 sexes 15+ years | (uninsured) [ | BAS 1100 1100 39 NiDS modelled] 37 real 2019/20 37 35 prices] 31 1000 1000 31 30 30 o n i 45 45 e c t Provincial & LG 500 500 d e t Cervical cancer PHC expenditure screening 40 40 per PHC

a n c e r coverage [female | headcount [ | BAS 450 450 44 DHIS] real 2019/20 35 35 prices] 3 _ C 42 41 45 46 400 400 36 1 2

C 80 80 U s e a 13 13 d i

Tobacco Percentage of non-smoking o f deaths garbage prevalence (index) 70 70 12 12

d e n codes [both sexes [both sexes 15+ 26 all ages | vital years | NiDS B u r 21 registration] 11 11 modelled] 60 50 50 60 50 50 50 50 10 10 10 e n t

i 15 15 18 18 14 14 a c e s n p a t i y

t 13 13

i Hospital beds per Percentage of l 10 000 target 16 16 deaths ill-defined 12 12 population [ | DHIS [both sexes all 11 11 2000-2030 public ages | vital 10 10 14 35 37 14 4 _ 1 F a c i sector] 38 registration] 9 9 8 8 43 45 8 9 12 43 12 7 5 7 y t 40 40

d e n s i Percentage of

Medical YLLs due to 15 15 k e r practitioners per communicable, o r 30 30 w 100 000 population maternal, perinatal, h

t [both sexes | public nutrition causes

e a l sector] [both sexes | vital 10 10 20 34 36 38 20 registration] 2 37 2 1 4 _ 2 H

18 18 25 25 Percentage of Pharmacists per 16 16 YLLs due to HIV 11 100 000 population and TB [both [both sexes | public 14 14 13 sexes | vital 16 sector] 20 21 registration] 20 20 12 12 21 20

140 140 130 130 18 18 Professional 120 120 Percentage of 49 nurses per 100 110 110 000 population YLLs due to 100 100 injuries [both sexes 39 [both sexes | public 90 90 | vital registration] 16 16 sector] 80 80 29 70 70 50 50 49 60 50 60 n e s a n d 50 48 70 70 55 55 c i C 60 60 e d i Percentage of P H

m 48 50 50 YLLs due to 50 50 non-communicable Percentage Ideal 40 31 40 38 40 clinics [ | IC status] 30 30 diseases [both sexes | vital 20 20 45 45 42 registration] 4 _ 3 A c e s 10 10 0 11 35 0 40 40 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

488 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Cape Winelands District Municipality (DC2)

The Cape Winelands District Municipalitye is a Category C municipality situated in the Western Cape Province. The district consists of five local municipalities, namely: Drakenstein, , Witzenberg, Breede Valley and Langeberg. Cities/Towns: Ashton, Bonnievale, Ceres, , , Gouda, Klapmuts, McGregor, Montagu, Op-Die-Berg, , Pniel, , , Robertson, Saron, Stellenbosch, Stellenbosch Farms, , , Wellington, Wolseley, Worcester Area: 21 473km² Population (2019)f: 933 476

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

WC, Cape Winelands DM (DC2)

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+ 2.0% 2.7% 2.0% 2.7% 2.2% 3.5%

60-64 years 1.3% 1.5% 1.4% 1.9%

55-59 years 1.5% 1.7% 1.7% 2.0% 1.9% 2.4%

50-54 years 2.1% 2.3% 2.1% 2.6% 2.4% 2.8%

45-49 years 2.6% 2.8% 2.7% 3.1% 2.8% 2.9%

40-44 years 3.0% 3.5% 3.3% 3.6% 3.3% 3.2%

35-39 years 3.7% 4.0% 3.6% 3.6% 4.6% 4.2%

30-34 years 4.2% 4.6% 4.0% 3.8% 5.2% 4.7%

25-29 years 4.3% 4.3% 5.3% 4.9% 4.9% 4.5%

20-24 years 4.3% 4.3% 5.5% 5.2% 4.2% 4.1%

15-19 years 5.1% 5.1% 4.5% 4.4% 3.8% 3.8%

10-14 years 5.3% 5.1% 4.0% 4.0% 4.2% 4.1%

05-09 years 5.1% 4.9% 4.4% 4.2% 4.3% 4.2%

00-04 years 4.7% 4.6% 5.0% 4.8% 4.3% 4.2%

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/143/cape-winelands-district-municipality. f Mid-year Population Estimates 2019, Stats SA.

489 Section B: NationalProfile Western and District Cape ProfilesProvince

Percentage of deaths by broad cause and leading causes, 2012–2017 WC, Cape Winelands DM: DC2, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 59% 8% 25% 8% 62% 8% 21% 10% causes and 5-14 17% 10% 27% 46% 13% 6% 16% 65% single leading 15-24 8% 41% 18% 33% 3%12% 10% 76% causes 25-64 4% 29% 59% 7% 3% 29% 48% 19% 65+ 6%2% 90% 2% 5%5% 86% 3% Total 7% 16% 71% 6% 6% 19% 58% 16% Broadcause Injury NCD Rank Female Male 1 Preterm birth complications (17.7%) Preterm birth complications (15.7%) HIV and TB 2 Diarrhoeal diseases (13.1%) Lower respiratory infections (11.2%) Comm_mat_peri_nut 3 Lower respiratory infections (9.3%) Diarrhoeal diseases (10.7%)

s 4 Birth asphyxia (7.5%) Birth asphyxia (9.3%) Prov, District 5 HIV/AIDS (6.4%) Other respiratory (8.6%) WC, Cape Winelands DM: DC2 y e a r 6 Other respiratory (6.4%) HIV/AIDS (5.7%) Show history 5

< 7 Congenital heart anomalies (6.0%) Other perinatal conditions (4.7%) 8 Protein-energy malnutrition (3.7%) Protein-energy malnutrition (4.5%) Percentages are shown 9 Accidental threats to breathing (3.5%) Drowning (3.6%) according to all the deaths 10 Other congenital abnormalities (3.1%) Sepsis/other newborn infectious (3.2%) within the age/gender 1 Fires, hot substances (21.2%) Drowning (52.2%) category of each box, 2 Accidental threats to breathing (13.5%) Road injuries (12.6%) although only the leading 3 Road injuries (13.0%) Interpersonal violence (7.5%) 10 causes are displayed. 4 Tuberculosis (12.1%) Mechanical forces (5.6%) 5 Drowning (9.9%) Accidental threats to breathing (5.2%) 1 4

5 - 6 Other neoplasms (8.8%) Fires, hot substances (4.9%) 7 Other unintentional injuries (7.9%) HIV/AIDS (4.8%) 8 HIV/AIDS (7.4%) 9 Mechanical forces (6.2%) 10 1 HIV/AIDS (30.8%) Interpersonal violence (35.0%) 2 Tuberculosis (16.4%) Mechanical forces (14.8%) 3 Accidental threats to breathing (10.0%) Accidental threats to breathing (12.6%) 4 Interpersonal violence (9.8%) Tuberculosis (8.0%)

2 4 5 Road injuries (6.0%) Drowning (6.5%)

1 5 - 6 Fires, hot substances (3.5%) HIV/AIDS (4.4%) 7 Drowning (2.5%) Fires, hot substances (4.2%) 8 Lower respiratory infections (2.4%) Road injuries (3.4%) 9 Adverse effects medical/surgical (2.2%) Lower respiratory infections (1.1%) 10 Mechanical forces (2.0%) Cardiomyopathy (1.0%) 1 HIV/AIDS (18.6%) Tuberculosis (15.7%) 2 Tuberculosis (10.6%) HIV/AIDS (13.8%) 3 Cerebrovascular disease (7.5%) Interpersonal violence (6.7%) 4 COPD (6.1%) COPD (6.5%)

6 4 5 Ischaemic heart disease (5.6%) Ischaemic heart disease (6.4%)

2 5 - 6 Breast (5.1%) Trachea/bronchi/lung (6.2%) 7 Trachea/bronchi/lung (4.0%) Cerebrovascular disease (5.0%) 8 Diabetes mellitus (3.9%) Accidental threats to breathing (3.4%) 9 Hypertensive heart disease (3.5%) Mechanical forces (2.5%) 10 Cervix (2.5%) Diabetes mellitus (1.9%) 1 Cerebrovascular disease (17.4%) Ischaemic heart disease (13.7%) 2 Ischaemic heart disease (15.0%) Cerebrovascular disease (12.1%) 3 Hypertensive heart disease (7.6%) COPD (10.4%) 4 COPD (6.9%) Trachea/bronchi/lung (8.1%) 5 Diabetes mellitus (5.8%) Prostate (6.4%)

6 5 + 6 Trachea/bronchi/lung (4.4%) Hypertensive heart disease (4.4%) 7 Breast (3.6%) Tuberculosis (4.3%) 8 Lower respiratory infections (3.2%) Diabetes mellitus (3.4%) 9 Alzheimer’s and other dementias (3.1%) Lower respiratory infections (3.4%) 10 Colo-rectal (2.6%) Colo-rectal (2.6%)

Rank Maternal conditions All other causes 1 Other maternal (43.5%) n=11 HIV/AIDS (31.8%) n=1 406 2 Indirect maternal (43.1%) n=11 Tuberculosis (14.3%) n=633 3 Abortion (13.4%) n=3 Breast (4.2%) n=187 4 Cerebrovascular disease (3.6%) n=158 e a l 4 9 5 Interpersonal violence (3.1%) n=138

1 5 - 6 Accidental threats to breathing (3.0%) n=132 F e m 7 Fires, hot substances (2.7%) n=118 8 COPD (2.5%) n=112 9 Cervix (2.3%) n=102 10 Ischaemic heart disease (2.3%) n=102

490 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Annual trends, 2015/16–2019/20

Cape Winelands: DC2 Cape Winelands: DC2 e s n g l i 14 51 14 7 51 o f 49 46

a n i 6 4 P r p l 12 12 y

l 8 TB DS client lost to i 80 80 Couple year follow up rate [both protection rate [ | 10 sexes all ages | 10 10 DHIS] ETR/Tier.Net]

1 _ F a m 8 8 60 25 60 6 6

e 7 7 90 90 c a r y 20 6 6 v e r i TB DS death rate Antenatal 1st visit d e l 80 80 [both sexes all coverage [female | ages | 5 5 a n d DHIS] 35 ETR/Tier.Net] 33 44 30 4 4 70 70 4 5 2 38 2 e g n a c y 3 3 90 90 18 80 80

1 _ 2 P r 44 13 13 70 43 70 TB symptom 5 16 60 41 60 Delivery in 10 to 19 years and older screened in facility 50 50 years in facility rate 12 12 [female | DHIS] rate [both sexes | 40 40 16 DHIS] 30 30 20 20 11 11 10 10

80 39 80 100 100 TB symptom child 40 Maternal mortality under 5 years 20 in facility ratio 19 screened in facility [female | DHIS] rate [both sexes | 60 60 6 DHIS] 50 8 50 34 9 2 40 40 e n t

m 92 92 12 12 e a t 21 r 18 t Adult with viral V

I load suppressed Neonatal death in 90 21 90 facility rate [both 10 10 rate 12 months sexes | DHIS] 10 [both sexes 15+ 2 _ H years | DHIS] 8 4 10 8 88 88

3 4 6 6 o n

i 3

s a t 80 80

u n i Child with viral 80 80 m Immunisation 25 load suppressed

m 30 i under 1 year 30 rate 12 months 70 70

d 39 l coverage [both 30 [both sexes 0-14 h i sexes | DHIS] years | DHIS] 70 70 60 60

1 _ 3 C 35 37 39 e n t

m 65 65 36 e a t r t Death in facility Clients remaining 37 d 4 4 l on ART rate [both

h i under 5 years rate [both sexes | sexes all ages | 60 60 DHIS] DHIS] 35 1 _ 4 C 2 2 6 33 5 4 4 6 3 55 55 6

3 3 C 25 25 U 19 20 20 Pneumonia case 2 2 Antiretroviral fatality under 5 effective coverage years rate [both [both sexes 0-14 15 48 15 sexes <5 years | years | DHIS-Tier] DHIS] 1 8 1 10 10 7 5 5 47 5 4 e n t

m 81 81 40 40

e a t 80 80 r t TB DS treatment 79 36 79 Antiretroviral effective coverage 30 30 success rate [both 78 78 48 [both sexes 15+ 35 sexes all ages | 77 77 2 _ 1 T B ETR/Tier.Net] 39 years | DHIS-Tier] 76 76 20 20 75 75 44 74 40 74 52

40 40 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 Antiretroviral 30 30 effective coverage 33 48 Measure Names Rank [both sexes all Prov av 1 44 ages | DHIS-Tier] ZA av 20 20 Ind Value 52 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

491 Section B: NationalProfile Western and District Cape ProfilesProvince

Cape Winelands: DC2 Cape Winelands: DC2 9 C

U 80 80 Age-standardised n a c e 3000 3000 Expenditure per prevalence of non-raised blood patient day 75 75 4 _ 5 F i equivalent (district pressure (index) hospitals) [ | BAS 2500 2500 [both sexes 15+ real 2019/20 years | NiDS 70 70 prices] modelled] 52 52 52 52 52 52 2000 2000 65 65 e s e n t 49 2000 2000 a b e t i 51 Provincial & LG 20 20 District Health Diabetes a n g e m 49 Services 1800 1800

m prevalence [both 3 _ 2 D expenditure per sexes 15+ years | 48 15 15 capita (uninsured) [ NiDS modelled] 43 1600 1600 | BAS real 2019/20 40 prices] 1400 1400 10 10

1 0 13 C

U 40 40 17 Provincial & LG 1200 1200 Diabetes treatment PHC expenditure 24 coverage [both 35 35 per capita 1100 1100 sexes 15+ years | (uninsured) [ | BAS 29 NiDS modelled] real 2019/20 1000 1000 prices] 30 35 30 40 900 900 o n i

e c t 45 45 Provincial & LG 500 500 d e t Cervical cancer PHC expenditure screening per PHC

a n c e r coverage [female | 38 headcount [ | BAS 450 450 40 40 DHIS] 24 real 2019/20 prices] 3 _ C 37 38 37 400 400 31 1 2

C 80 80 U s e a 13 13 d i

Tobacco Percentage of non-smoking o f deaths garbage prevalence (index) 75 75 12 29 12

d e n codes [both sexes [both sexes 15+ all ages | vital years | NiDS B u r registration] 11 11 modelled] 70 44 70 16 46 45 15 46 46 46 10 10 e n t

i 15 15 14 14 a c e s 18 18 n p a t i y

t 13 13

i Hospital beds per Percentage of l 10 000 target deaths ill-defined 12 12 population [ | DHIS 16 16 [both sexes all 11 11 2000-2030 public ages | vital 10 10

4 _ 1 F a c i sector] registration] 33 9 9 14 34 33 34 14 8 8 35 9 8 10 36 7 7 y t 40 40

d e n s i Percentage of

Medical YLLs due to 15 15 k e r practitioners per 35 35 communicable, o r

w 100 000 population 21 maternal, perinatal, h

t [both sexes | public nutrition causes 30 19 30

e a l sector] [both sexes | vital 10 10 registration] 21 1 3 25 23 25 1 4 _ 2 H

18 18 25 25 Percentage of 13 Pharmacists per 16 16 24 YLLs due to HIV 100 000 population and TB [both [both sexes | public 20 14 13 16 16 14 sexes | vital sector] 14 registration] 20 20 12 12

140 140 18 18 Professional Percentage of nurses per 100 120 120 000 population YLLs due to injuries [both sexes 41 [both sexes | public 34 100 100 | vital registration] 16 16 sector] 36 80 45 46 46 47 80 55 55 n e s a n d 70 70 46 c i 26 C 49 47 60 29 60 e d i Percentage of P H m 50 50 YLLs due to 50 50 Percentage Ideal non-communicable 40 32 40 clinics [ | IC status] 30 30 diseases [both sexes | vital 45 45 20 20 registration]

4 _ 3 A c e s 44 10 10 0 11 35 0 40 40 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

492 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Overberg District Municipality (DC3)

The District Municipalityg is a Category C municipality situated in the Western Cape Province. The municipality is the smallest district in the province, making up only 9% of its geographical area. The following local municipalities form the Overberg District: Theewaterskloof, , Overstrand and . Cities/Towns: Agulhas, , , Betty’s Bay, Birkenhead, Bot River, , Buffeljagsrivier, Caledon/ Myddleton, , Elim, Fishershaven, Franskraal, Gans Bay, , , , , , Infanta, , Klipdale, Malagas, Napier, Onrus, , , Protem, , Rooi-Els, Sand Bay, Stanford, Struis Bay, , , Swellendam, Theewaterskloof, Van Dyks Bay, Vermont, Area: 12 239km² Population (2019)h: 299 198

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

WC, Overberg DM (DC3)

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+ 3.1% 3.7% 3.1% 3.7% 3.0% 4.1%

60-64 years 1.8% 1.5% 1.6% 1.8% 1.7% 1.9%

55-59 years 1.9% 2.2% 1.9% 2.1% 2.1% 2.3%

50-54 years 2.3% 2.5% 2.4% 2.5% 2.6% 2.6%

45-49 years 2.6% 2.8% 3.0% 2.9% 3.1% 2.8%

40-44 years 3.3% 3.4% 3.5% 3.3% 3.3% 3.0%

35-39 years 4.0% 3.9% 4.0% 3.5% 4.4% 4.0%

30-34 years 4.5% 4.3% 4.1% 3.5% 5.1% 4.6%

25-29 years 4.8% 4.3% 5.0% 4.5% 4.9% 4.4%

20-24 years 3.8% 3.6% 5.1% 4.8% 4.1% 3.9%

15-19 years 4.1% 4.2% 4.2% 4.2% 3.5% 3.5%

10-14 years 4.6% 4.5% 3.9% 3.9% 4.1% 4.0%

05-09 years 4.6% 4.5% 4.1% 3.9% 4.4% 4.3%

00-04 years 4.6% 4.5% 4.9% 4.7% 4.5% 4.3%

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.

g Available from: https://municipalities.co.za/overview/146/overberg-district-municipality. h Mid-year Population Estimates 2019, Stats SA.

493 Section B: NationalProfile Western and District Cape ProfilesProvince

Percentage of deaths by broad cause and leading causes, 2012–2017 WC, Overberg DM: DC3, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 70% 6% 14% 10% 72% 5% 10% 13% causes and 5-14 20% 0% 26% 54% 12%4% 12% 72% single leading 15-24 12% 36% 18% 34% 4%9% 9% 77% causes 25-64 5% 23% 64% 9% 4% 22% 50% 24% 65+ 5%1% 91% 3% 5%3% 88% 3% Total 8% 11% 75% 6% 7% 13% 62% 18% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (20.2%) Lower respiratory infections (23.5%) HIV and TB 2 Preterm birth complications (16.1%) Preterm birth complications (15.5%) Comm_mat_peri_nut 3 Diarrhoeal diseases (13.0%) Birth asphyxia (12.4%)

s 4 Birth asphyxia (7.3%) Diarrhoeal diseases (11.2%) Prov, District 5 Protein-energy malnutrition (6.0%) HIV/AIDS (5.2%) WC, Overberg DM: DC3 y e a r 6 HIV/AIDS (6.0%) Road injuries (5.0%) Show history 5

< 7 Congenital heart anomalies (4.8%) Protein-energy malnutrition (3.6%) 8 Sepsis/other newborn infectious (4.4%) Other perinatal conditions (3.4%) Percentages are shown 9 Accidental threats to breathing (4.4%) Congenital heart anomalies (3.3%) according to all the deaths 10 Other perinatal conditions (4.3%) Accidental threats to breathing (3.1%) within the age/gender 1 Road injuries (40.8%) Drowning (66.8%) category of each box, 2 Road injuries (33.2%) although only the leading 3 10 causes are displayed. 4 Lower respiratory infections (18.4%) 5 1 4

5 - 6 7 8 9 10 1 HIV/AIDS (36.4%) Interpersonal violence (43.5%) 2 Road injuries (33.9%) Road injuries (17.6%) 3 Tuberculosis (17.9%) Tuberculosis (8.8%) 4 Accidental threats to breathing (4.3%) Accidental threats to breathing (6.8%)

2 4 5 Cerebrovascular disease (3.8%) Drowning (5.2%)

1 5 - 6 Self-inflicted injuries (3.8%) Self-inflicted injuries (4.9%) 7 Fires, hot substances (4.6%) 8 Mechanical forces (4.4%) 9 HIV/AIDS (1.6%) 10 Epilepsy (1.3%) 1 HIV/AIDS (14.6%) Tuberculosis (12.3%) 2 Tuberculosis (9.1%) HIV/AIDS (9.5%) 3 Cerebrovascular disease (7.3%) Ischaemic heart disease (9.1%) 4 Ischaemic heart disease (7.2%) Interpersonal violence (8.2%)

6 4 5 Trachea/bronchi/lung (6.1%) Trachea/bronchi/lung (7.2%)

2 5 - 6 Breast (5.4%) Road injuries (7.0%) 7 COPD (5.0%) COPD (5.4%) 8 Diabetes mellitus (4.6%) Cerebrovascular disease (4.9%) 9 Hypertensive heart disease (3.7%) Hypertensive heart disease (2.3%) 10 Road injuries (3.7%) Accidental threats to breathing (2.1%) 1 Cerebrovascular disease (15.1%) Ischaemic heart disease (15.8%) 2 Ischaemic heart disease (14.0%) Cerebrovascular disease (10.4%) 3 Hypertensive heart disease (8.9%) COPD (8.5%) 4 COPD (5.8%) Trachea/bronchi/lung (8.4%) 5 Alzheimer’s and other dementias (4.9%) Prostate (5.9%)

6 5 + 6 Trachea/bronchi/lung (4.9%) Hypertensive heart disease (4.9%) 7 Diabetes mellitus (4.5%) Alzheimer’s and other dementias (4.0%) 8 Breast (4.4%) Lower respiratory infections (3.7%) 9 Lower respiratory infections (3.9%) Colo-rectal (3.0%) 10 Colo-rectal (2.9%) Diabetes mellitus (3.0%)

Rank Maternal conditions All other causes 1 Other maternal (40.4%) n=6 HIV/AIDS (27.6%) n=293 2 Hypertension in pregnancy (37.0%) n=6 Tuberculosis (13.2%) n=140 3 Indirect maternal (22.6%) n=3 Road injuries (7.8%) n=82 4 Ischaemic heart disease (5.5%) n=58 e a l 4 9 5 Cerebrovascular disease (4.0%) n=43

1 5 - 6 Breast (3.8%) n=41 F e m 7 Interpersonal violence (3.6%) n=38 8 Cervix (3.4%) n=36 9 Hypertensive heart disease (2.0%) n=21 10 COPD (2.0%) n=21

494 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Annual trends, 2015/16–2019/20 Overberg: DC3 Overberg: DC3 e s n g l 100 1 100 i 6 o f a n i

P r 10 10 p l

y 4

l 4 TB DS client lost to i Couple year 3 8 80 80 follow up rate [both protection rate [ | sexes all ages | 26 DHIS] 30 8 ETR/Tier.Net]

1 _ F a m 5 5 60 60 9 e 4 c a r y 100 100 6 6 v e r i 5 TB DS death rate Antenatal 1st visit d e l [both sexes all coverage [female | 90 90 10 ages | a n d DHIS] ETR/Tier.Net] 4 4 23 80 16 80 1 19 1 1 1 e g n a c y 2 2 90 90 23 80 80 1 _ 2 P r 14 14 70 46 70 24 TB symptom 5 46 60 37 60 Delivery in 10 to 19 years and older 16 50 50 years in facility rate screened in facility [female | DHIS] rate [both sexes | 40 40 12 12 DHIS] 30 30 20 20 10 10

80 80 100 100 43 22 TB symptom child Maternal mortality under 5 years 42 in facility ratio screened in facility [female | DHIS] 50 4 50 rate [both sexes | 60 60 DHIS] 32 5

0 1 1 1 0 40 40 95 95 e n t 2

m 94 3 94

e a t 93 93 17 r 9 t Adult with viral 92 92 10 10 V Neonatal death in I load suppressed 91 91 facility rate [both rate 12 months sexes | DHIS] [both sexes 15+ 90 90 5 3 2 _ H years | DHIS] 89 89 2 5 5 88 88 1 87 87 o n

i 2 11

s a t 85 85 3 25 80 80

u n i Child with viral

m Immunisation load suppressed m i under 1 year 80 80 22 28 rate 12 months d l coverage [both [both sexes 0-14 8 h i sexes | DHIS] years | DHIS] 70 70 75 24 75

1 _ 3 C 19 70 70 6 6

e n t 2 90 90 m 4 e a t

r 4 t Death in facility 4 4 Clients remaining 80 3 80 d l on ART rate [both

h i under 5 years rate sexes all ages | [both sexes | 70 70 DHIS] DHIS] 2 2 1 _ 4 C 3 7 2 2 3 60 60 1 6

3 3 C 2 U 3 40 40 Pneumonia case 2 2 Antiretroviral fatality under 5 effective coverage 30 30 years rate [both [both sexes 0-14 sexes <5 years | 1 1 years | DHIS-Tier] DHIS] 20 20 9 5 4 4 44 0 1 1 0 10 10 60 1 60 e n t 1 1 m 90 90 e a t r t 7 3 Antiretroviral TB DS treatment 2 success rate [both 85 85 effective coverage 40 40 sexes all ages | [both sexes 15+ years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 80 80 20 20 50

60 1 60 1 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 Antiretroviral effective coverage 40 40 Measure Names Rank [both sexes all Prov av 1 28 ages | DHIS-Tier] ZA av 20 20 Ind Value 50 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

495 Section B: NationalProfile Western and District Cape ProfilesProvince

Overberg: DC3 Overberg: DC3 9 C

U 3100 3100 Age-standardised 80 80 n a c e Expenditure per 3000 3000 prevalence of 2900 2900 non-raised blood patient day 4 _ 5 F i equivalent (district pressure (index) 2800 2800 hospitals) [ | BAS [both sexes 15+ 75 75 2700 2700 real 2019/20 years | NiDS 47 2600 2600 47 46 prices] modelled] 47 2500 2500 48 70 48 70 2400 2400

e s 2400 2400 e n t 43 44 a b e t i 46 Provincial & LG District Health Diabetes 46 2200 2200 a n g e m 15 47 15 Services

m prevalence [both 3 _ 2 D 44 expenditure per sexes 15+ years | capita (uninsured) [ NiDS modelled] 2000 2000 | BAS real 2019/20 prices] 10 10 1800 1800

1 0 14 C 40 14 40 U 15 20 17 Provincial & LG 22 1300 1300 Diabetes treatment PHC expenditure coverage [both per capita 35 35 sexes 15+ years | (uninsured) [ | BAS 1200 1200 NiDS modelled] real 2019/20 prices] 1100 1100 30 30 o n i 21 e c t 50 12 50 Provincial & LG 500 500 d e t Cervical cancer PHC expenditure screening 22 per PHC

a n c e r 450 450 coverage [female | 45 45 headcount [ | BAS DHIS] 22 28 real 2019/20 prices]

3 _ C 28 400 400 40 40

1 2 14 14

C 80 80 U s e a d i

Tobacco 12 12 Percentage of non-smoking 75 75 o f prevalence (index) deaths garbage

d e n codes [both sexes 10 10 [both sexes 15+ 6 all ages | vital years | NiDS 70 70 B u r registration] modelled] 8 1 8 65 47 48 48 48 48 65 48 6 1 6 e n t

i 15 15 14 14 a c e s n p a t i y

t 13 13

i Hospital beds per Percentage of l 10 000 target 15 15 deaths ill-defined 12 12 population [ | DHIS [both sexes all 11 11 2000-2030 public ages | vital 10 10

4 _ 1 F a c i sector] registration] 9 9 10 10 50 8 13 8 50 49 51 50 6 49 7 7 7 y t 40 40

d e n s i Percentage of Medical YLLs due to k e r practitioners per communicable, 15 15 o r 30 30 w 100 000 population maternal, perinatal, h

t [both sexes | public nutrition causes

e a l sector] [both sexes | vital 34 registration] 10 10 20 35 35 20 4 8 36 4 4 _ 2 H 19 19 7 8 18 9 18 25 25 17 17 10 Percentage of Pharmacists per 16 16 YLLs due to HIV 100 000 population 15 15 and TB [both [both sexes | public 14 14 sexes | vital sector] 20 20 13 13 registration] 12 12 2 3 4 11 11 15 15 20 20 140 140 51 50 50 Professional 120 120 Percentage of nurses per 100 18 18 000 population YLLs due to injuries [both sexes [both sexes | public 100 100 | vital registration] sector] 16 16 46 80 80 48 48 48 n e s a n d 100 1 100 49 55 49 55 c i

C 50

e d i 17 Percentage of P H

m 16 YLLs due to 50 50 Percentage Ideal non-communicable 50 50 clinics [ | IC status] 15 diseases [both sexes | vital 45 45 registration] 4 _ 3 A c e s

0 11 35 0 40 40 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

496 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Garden Route District Municipality (DC4)

The District Municipalityi (previously known as Eden District Municipality) is a Category C municipality situated in the Western Cape Province. The district comprises seven local municipalities: George, , , Bitou, , Hessequa and Kannaland. Cities/Towns: Albertinia, Boggoms Bay, Brandwag, Brenton, Brenton-on-Sea, Buffels Bay, , , , , George, Gouritz, , Haarlem, Heidelberg, , , , , Knoetzie, Knysna, Krantshoek, Kurland, Kwanokuthula, , Mossel Bay, Nature’s Valley, Oudtshoorn, , , Riversdale, Sedgefield, , Still Bay, Uniondale, , , , Wilderness, , Wittedrift, Zoar Area: 23 331km² Population (2019)j: 636 305

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

WC, Garden Route DM (DC4)

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+ 2.9% 3.5% 3.2% 4.2% 3.5% 5.5%

60-64 years 1.6% 1.4% 1.6% 2.0% 1.7% 2.3%

55-59 years 1.8% 2.0% 1.9% 2.4% 2.1% 2.7%

50-54 years 2.1% 2.5% 2.3% 2.8% 2.5% 3.0%

45-49 years 2.6% 2.9% 2.7% 3.3% 2.7% 3.0%

40-44 years 3.0% 3.4% 3.2% 3.6% 2.7% 2.9%

35-39 years 3.6% 4.0% 3.3% 3.6% 3.6% 3.7%

30-34 years 4.2% 4.3% 3.1% 3.3% 4.3% 4.2%

25-29 years 4.1% 4.2% 4.1% 4.2% 4.1% 4.1%

20-24 years 3.5% 3.4% 4.7% 4.9% 3.8% 3.8%

15-19 years 4.9% 4.6% 4.4% 4.4% 3.8% 4.0%

10-14 years 5.3% 5.2% 4.1% 4.1% 4.4% 4.4%

05-09 years 5.0% 4.7% 4.3% 4.4% 4.4% 4.3%

00-04 years 4.7% 4.5% 4.9% 4.8% 4.3% 4.2%

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/145/garden-route-district-municipality. j Mid-year Population Estimates 2019, Stats SA.

497 Section B: NationalProfile Western and District Cape ProfilesProvince

Percentage of deaths by broad cause and leading causes, 2012–2017 WC, Garden Route DM: DC4, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 70% 5% 18% 7% 71% 3% 18% 7% causes and 5-14 21% 8% 22% 49% 16% 6% 20% 58% single leading 15-24 8% 44% 20% 28% 2%17% 13% 68% causes 25-64 5% 28% 61% 6% 4% 29% 51% 16% 65+ 7%3% 88% 3% 6%4% 86% 4% Total 9% 15% 70% 6% 7% 18% 62% 13% Broadcause Injury NCD Rank Female Male 1 Preterm birth complications (22.8%) Preterm birth complications (20.4%) HIV and TB 2 Lower respiratory infections (22.2%) Lower respiratory infections (20.3%) Comm_mat_peri_nut 3 Diarrhoeal diseases (10.9%) Birth asphyxia (9.0%)

s 4 Birth asphyxia (5.8%) Diarrhoeal diseases (7.7%) Prov, District 5 Sepsis/other newborn infectious (4.3%) Sepsis/other newborn infectious (6.5%) WC, Garden Route DM: DC4 y e a r 6 Congenital heart anomalies (3.7%) Other respiratory (5.0%) Show history 5

< 7 Other perinatal conditions (3.5%) Other perinatal conditions (4.4%) 8 Other congenital abnormalities (3.5%) Congenital heart anomalies (4.3%) Percentages are shown 9 Other respiratory (3.3%) HIV/AIDS (2.7%) according to all the deaths 10 HIV/AIDS (2.8%) Protein-energy malnutrition (2.7%) within the age/gender 1 Road injuries (34.5%) Drowning (26.5%) category of each box, 2 Drowning (18.8%) Road injuries (19.1%) although only the leading 3 Fires, hot substances (15.2%) Accidental threats to breathing (12.1%) 10 causes are displayed. 4 Cardiomyopathy (11.3%) Interpersonal violence (8.0%) 5 HIV/AIDS (7.8%) Fires, hot substances (7.4%) 1 4

5 - 6 Tuberculosis (4.7%) 7 8 9 10 Self-inflicted injuries (3.7%) 1 HIV/AIDS (29.7%) Interpersonal violence (32.2%) 2 Tuberculosis (22.2%) Road injuries (16.4%) 3 Interpersonal violence (8.2%) Tuberculosis (11.1%) 4 Road injuries (6.9%) Accidental threats to breathing (9.7%)

2 4 5 Accidental threats to breathing (6.5%) Drowning (7.3%)

1 5 - 6 Adverse effects medical/surgical (3.8%) HIV/AIDS (7.2%) 7 Lower respiratory infections (2.5%) Mechanical forces (3.5%) 8 Fires, hot substances (2.5%) Self-inflicted injuries (2.4%) 9 Self-inflicted injuries (2.5%) Epilepsy (2.1%) 10 Drowning (2.3%) Fires, hot substances (1.4%) 1 HIV/AIDS (17.8%) Tuberculosis (15.4%) 2 Tuberculosis (10.6%) HIV/AIDS (13.4%) 3 Cerebrovascular disease (6.8%) Ischaemic heart disease (7.0%) 4 Ischaemic heart disease (5.7%) Trachea/bronchi/lung (5.9%)

6 4 5 COPD (4.8%) Cerebrovascular disease (5.5%)

2 5 - 6 Breast (4.7%) COPD (5.4%) 7 Trachea/bronchi/lung (4.4%) Interpersonal violence (4.7%) 8 Hypertensive heart disease (4.1%) Road injuries (4.0%) 9 Diabetes mellitus (4.1%) Lower respiratory infections (2.4%) 10 Cervix (2.8%) Accidental threats to breathing (2.4%) 1 Cerebrovascular disease (16.0%) Ischaemic heart disease (16.3%) 2 Ischaemic heart disease (15.0%) Cerebrovascular disease (11.0%) 3 Hypertensive heart disease (7.8%) COPD (8.4%) 4 COPD (5.6%) Prostate (7.1%) 5 Diabetes mellitus (5.1%) Trachea/bronchi/lung (6.4%)

6 5 + 6 Lower respiratory infections (4.5%) Hypertensive heart disease (4.0%) 7 Trachea/bronchi/lung (4.0%) Tuberculosis (3.8%) 8 Breast (3.6%) Lower respiratory infections (3.7%) 9 Alzheimer’s and other dementias (3.2%) Diabetes mellitus (3.0%) 10 Nephritis/nephrosis (2.1%) Alzheimer’s and other dementias (2.3%)

Rank Maternal conditions All other causes 1 Other maternal (42.2%) n=8 HIV/AIDS (30.7%) n=999 2 Indirect maternal (40.1%) n=7 Tuberculosis (15.6%) n=508 3 Hypertension in pregnancy (17.7%) n=3 Cerebrovascular disease (4.1%) n=133 4 Breast (3.7%) n=121 e a l 4 9 5 Cervix (3.0%) n=97

1 5 - 6 Interpersonal violence (3.0%) n=96 F e m 7 Road injuries (2.9%) n=96 8 Ischaemic heart disease (2.8%) n=93 9 Hypertensive heart disease (2.4%) n=77 10 Lower respiratory infections (2.2%) n=73

498 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Annual trends, 2015/16–2019/20

Garden Route: DC4 Garden Route: DC4 e s n g l i 49 90 9 90 50 43 5 o f 48

a n i 9 5

5 P r 12 12 p l 9 y

l 80 80 TB DS client lost to i Couple year follow up rate [both 10 10 protection rate [ | sexes all ages | 70 70 DHIS] ETR/Tier.Net]

1 _ F a m 8 8 60 60 6 6

e 7 7 13 c a r

y 90 90 v e r i TB DS death rate 6 6 Antenatal 1st visit 9 d e l [both sexes all 11 coverage [female | 80 80 ages | a n d DHIS] 31 ETR/Tier.Net] 5 9 8 5 26 38 27 31 4 4 e g n a c y 70 70 90 90 15 22 15 24 80 80 1 _ 2 P r 14 14 70 70 TB symptom 5 47 22 60 47 60 years and older 43 Delivery in 10 to 19 50 50 years in facility rate 13 13 screened in facility 40 40 [female | DHIS] rate [both sexes | 30 30 12 12 DHIS] 20 20 10 10 11 11

80 80 TB symptom child 100 100 47 Maternal mortality under 5 years in facility ratio screened in facility 60 60 [female | DHIS] 12 15 rate [both sexes | 47 9 DHIS] 50 3 50 43 10 4 40 40 e n t

m 92 92 e a t

12 12 r

t Adult with viral

V 26 Neonatal death in I load suppressed rate 12 months 90 90 facility rate [both 10 12 10 25 sexes | DHIS] [both sexes 15+ 24 2 _ H years | DHIS] 8 88 88 8 9 7 8 2 o n i 10

s a t 85 85 70 70 Child with viral 27 u n i

m Immunisation 19 30 load suppressed m i under 1 year 80 21 27 80 rate 12 months 65 65 d l coverage [both [both sexes 0-14 h i sexes | DHIS] 12 years | DHIS] 75 26 75 60 60

1 _ 3 C 39 70 70 31 e n t

m 65 65 e a t r

t 39 Death in facility Clients remaining

d 4 4 l on ART rate [both 60 60

h i under 5 years rate sexes all ages | [both sexes | 39 DHIS] DHIS]

1 _ 4 C 55 55 2 2 2 41 2 3 3 3 2 50 50 6

3 3 C 25 14 25 U 29 Pneumonia case 2 2 Antiretroviral 20 20 fatality under 5 effective coverage years rate [both 11 [both sexes 0-14 sexes <5 years | 1 1 years | DHIS-Tier] DHIS] 10 15 15 6 46 0 3 1 2 0 82 82 e n t

m 40 40 e a t r

t 80 80 Antiretroviral TB DS treatment effective coverage success rate [both 34 [both sexes 15+ sexes all ages | 24 78 36 78 years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 30 47 30 38 76 43 76 46

40 40 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 Antiretroviral effective coverage 35 35 Measure Names Rank [both sexes all Prov av 1 43 ages | DHIS-Tier] 30 47 30 ZA av 37 Ind Value 25 47 25 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

499 Section B: NationalProfile Western and District Cape ProfilesProvince

Garden Route: DC4 Garden Route: DC4 9 C U

Age-standardised n a c e 3000 3000 80 80 Expenditure per prevalence of non-raised blood patient day 4 _ 5 F i equivalent (district pressure (index) hospitals) [ | BAS [both sexes 15+ 42 real 2019/20 years | NiDS 75 42 75 2500 2500 42 prices] modelled] 43 43 42 e s e n t 20 47 20 2200 2200 a b e t

i Provincial & LG 46 District Health Diabetes a n g e m Services

m prevalence [both 43 3 _ 2 D 15 15 expenditure per sexes 15+ years | 2000 2000 37 capita (uninsured) [ NiDS modelled] 36 | BAS real 2019/20 prices] 10 32 10 1800 1800

1 0 40 16 40 1300 1300 C 15 15 U 16 17 17 Provincial & LG Diabetes treatment PHC expenditure coverage [both per capita 1200 1200 sexes 15+ years | 35 35 (uninsured) [ | BAS NiDS modelled] real 2019/20 prices] 1100 1100 30 30 o n i 60 3 60 5 7 12 e c t 15 500 500 14 Provincial & LG d e t Cervical cancer PHC expenditure screening per PHC 50 50 a n c e r coverage [female | headcount [ | BAS 450 450 DHIS] real 2019/20 prices] 3 _ C 400 400 40 40

1 2 14 14 C 80 80 U s e a d i

Tobacco Percentage of non-smoking o f 12 12 deaths garbage prevalence (index) 75 39 75 d e n codes [both sexes [both sexes 15+ 39 42 all ages | vital years | NiDS B u r 11 42 registration] 10 10 modelled] 70 43 70 43 7 6 e n t

i 15 15 a c e s n p a t i

y 18 18 t

i Hospital beds per Percentage of l 10 000 target deaths ill-defined population [ | DHIS [both sexes all 10 10 2000-2030 public ages | vital 16 16 4 _ 1 F a c i sector] registration] 30 28 31 31 29 27 5 1 1 1 5 y t

40 13 40

d e n s i Percentage of Medical YLLs due to k e r practitioners per communicable, 15 15 o r 13

w 100 000 population maternal, perinatal,

h 35 35 t [both sexes | public nutrition causes

e a l sector] [both sexes | vital 14 10 10 16 registration] 3 5 5

4 _ 2 H 30 30

4 3 2 2 25 25 20 20 Percentage of Pharmacists per 12 YLLs due to HIV 100 000 population and TB [both [both sexes | public 14 19 sexes | vital sector] 15 15 registration] 20 20

140 140 18 18 Professional Percentage of nurses per 100 000 population 120 120 YLLs due to 16 16 injuries [both sexes [both sexes | public | vital registration] sector] 14 14 20 15 100 43 44 100 43 43 10 12 12 n e s a n d 23 51 51 70 70 c i

C 55 55 60 60 51 e d i Percentage of P H 34 m 50 50 YLLs due to 24 50 50 Percentage Ideal 40 40 non-communicable clinics [ | IC status] 30 30 diseases [both sexes | vital 20 37 20 45 45 registration] 4 _ 3 A c e s 10 10 0 11 35 0 40 40 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

500 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Central District Municipality (DC5)

The Central Karoo District Municipalityk is a Category C municipality located in the Western Cape Province. Central Karoo is the largest district in the province, making up a third of its geographical area, and comprises three local municipalities: Laingsburg, Prince Albert and . Cities/Towns: Beaufort West, Klaarstroom, Laingsburg, Leeu Gamka, Matjiesfontein, Merweville, Murraysburg, Nelspoort, Prince Albert, Welgemoed Area: 38 854km² Population (2019)l: 77 606

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

WC, Central Karoo DM (DC5)

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+ 2.6% 3.3% 3.1% 3.9% 3.7% 5.3%

60-64 years 1.5% 1.5% 1.6% 2.0% 1.7% 2.3%

55-59 years 1.6% 1.9% 1.9% 2.4% 1.8% 2.6%

50-54 years 2.2% 2.4% 2.2% 2.7% 2.1% 2.7%

45-49 years 2.5% 2.9% 2.4% 3.2% 2.2% 2.7%

40-44 years 3.0% 3.4% 2.8% 3.3% 2.4% 2.6%

35-39 years 3.3% 3.6% 2.8% 3.2% 3.0% 2.9%

30-34 years 3.7% 4.0% 2.9% 2.9% 3.9% 3.8%

25-29 years 3.3% 3.8% 3.4% 3.3% 3.9% 3.9%

20-24 years 3.4% 3.5% 4.7% 4.7% 4.0% 4.3%

15-19 years 4.9% 4.3% 4.7% 4.9% 4.2% 5.0%

10-14 years 6.3% 5.8% 4.9% 5.1% 4.8% 5.3%

05-09 years 5.6% 5.1% 4.9% 5.4% 5.0% 5.2%

00-04 years 5.7% 5.1% 5.3% 5.5% 4.4% 4.5%

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.

k Available from: https://municipalities.co.za/overview/144/central-karoo-district-municipality. l Mid-year Population Estimates 2019, Stats SA.

501 Section B: NationalProfile Western and District Cape ProfilesProvince

Percentage of deaths by broad cause and leading causes, 2012–2017 WC, Central Karoo DM: DC5, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 69% 3% 17% 11% 61% 9% 19% 11% causes and 5-14 9% 8% 14% 69% 4%9%2% 85% single leading 15-24 7% 36% 9% 48% 2%14% 14% 70% causes 25-64 4% 28% 57% 11% 3% 25% 49% 23% 65+ 6%2% 89% 3% 5%6% 85% 4% Total 9% 16% 66% 9% 6% 18% 56% 19% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (29.7%) Preterm birth complications (24.7%) HIV and TB 2 Preterm birth complications (23.1%) Lower respiratory infections (23.6%) Comm_mat_peri_nut 3 Diarrhoeal diseases (11.8%) Other respiratory (12.7%)

s 4 Other perinatal conditions (10.0%) Diarrhoeal diseases (10.8%) Prov, District 5 Congenital heart anomalies (6.5%) Birth asphyxia (10.3%) WC, Central Karoo DM: DC5 y e a r 6 Road injuries (6.4%) HIV/AIDS (9.6%) Show history 5

< 7 Birth asphyxia (5.0%) Road injuries (8.2%) 8 Other respiratory (3.8%) Percentages are shown 9 Fetal alcohol syndrome (3.6%) according to all the deaths 10 within the age/gender 1 Road injuries (100.0%) Road injuries (77.7%) category of each box, 2 Drowning (22.3%) although only the leading 3 10 causes are displayed. 4 5 1 4

5 - 6 7 8 9 10 1 Road injuries (47.1%) Interpersonal violence (49.3%) 2 Tuberculosis (28.6%) Accidental threats to breathing (19.8%) 3 HIV/AIDS (24.2%) Road injuries (12.3%) 4 Tuberculosis (10.7%)

2 4 5 HIV/AIDS (7.9%)

1 5 - 6 7 8 9 10 1 HIV/AIDS (16.3%) Tuberculosis (14.8%) 2 Tuberculosis (13.8%) HIV/AIDS (10.9%) 3 COPD (8.0%) Road injuries (9.9%) 4 Road injuries (7.3%) COPD (9.0%)

6 4 5 Hypertensive heart disease (6.1%) Interpersonal violence (8.0%)

2 5 - 6 Cerebrovascular disease (6.0%) Ischaemic heart disease (6.7%) 7 Ischaemic heart disease (5.7%) Trachea/bronchi/lung (6.5%) 8 Breast (3.8%) Cerebrovascular disease (4.2%) 9 Trachea/bronchi/lung (3.2%) Epilepsy (2.5%) 10 Diabetes mellitus (3.0%) Hypertensive heart disease (2.5%) 1 Hypertensive heart disease (18.0%) COPD (15.7%) 2 Cerebrovascular disease (15.9%) Ischaemic heart disease (13.3%) 3 Ischaemic heart disease (12.2%) Prostate (9.2%) 4 COPD (10.6%) Hypertensive heart disease (8.5%) 5 Diabetes mellitus (5.5%) Cerebrovascular disease (8.5%)

6 5 + 6 Trachea/bronchi/lung (4.1%) Trachea/bronchi/lung (8.0%) 7 Lower respiratory infections (3.9%) Tuberculosis (5.1%) 8 Breast (2.5%) Lower respiratory infections (3.5%) 9 Colo-rectal (2.3%) Alzheimer’s and other dementias (2.6%) 10 Other circulatory diseases (1.9%) Diabetes mellitus (2.5%)

Rank Maternal conditions All other causes 1 HIV/AIDS (25.5%) n=136 2 Tuberculosis (21.4%) n=114 3 Road injuries (14.2%) n=76 4 Breast (3.3%) n=18 e a l 4 9 5 Cerebrovascular disease (3.3%) n=18

1 5 - 6 Cervix (3.0%) n=16 F e m 7 Interpersonal violence (2.8%) n=15 8 COPD (2.7%) n=15 9 Hypertensive heart disease (2.6%) n=14 10 Nephritis/nephrosis (2.5%) n=14

502 SectionSection B: B: Profile National Western and DistrictCape Province Profiles

Annual trends, 2015/16–2019/20 Central Karoo: DC5 Central Karoo: DC5 e s n g 20 20 l 120 1 120 i 52

2 o f 52 a n i P r p l

y 52 l 100 100 TB DS client lost to i Couple year 2 15 15 3 follow up rate [both protection rate [ | 5 8 sexes all ages | 42 DHIS] 80 80 ETR/Tier.Net] 10 10 1 _ F a m

60 60

e 7 7 90 90 c a r y v e r i 22 TB DS death rate 6 6 Antenatal 1st visit d e l 27 [both sexes all 12 coverage [female | 80 18 22 80 ages | 5 7 5 a n d DHIS] ETR/Tier.Net] 7 44 70 70 4 4 35 5 e g n a c y 90 90 18 37 18 39 80 80 1 _ 2 P r 70 41 45 70 TB symptom 5 36 16 16 60 60 Delivery in 10 to 19 26 years and older 50 50 years in facility rate screened in facility [female | DHIS] 14 14 rate [both sexes | 40 40 DHIS] 30 30 20 20 12 12 10 10

400 51 400 80 42 80 TB symptom child 39 Maternal mortality under 5 years in facility ratio 200 47 200 screened in facility rate [both sexes | 60 60 [female | DHIS] 31 30 DHIS]

0 1 1 1 0 40 40

20 51 20 e n t m 90 90 e a t r

t Adult with viral V

I load suppressed Neonatal death in 15 15 40 facility rate [both 41 rate 12 months sexes | DHIS] [both sexes 15+ 32 2 _ H years | DHIS] 80 80 20 10 14 10 52 49 o n i 25 23

s a t 60 60

u n i Child with viral

m Immunisation 80 33 80 load suppressed

m 21 40 40 i under 1 year rate 12 months d l coverage [both 39 31 [both sexes 0-14 h i sexes | DHIS] years | DHIS] 20 20 38 70 70 1 _ 3 C 31 0 52 0 90 90

e n t 2 m e a t

r 80 80 t 10 Death in facility Clients remaining 12 d 4 4 l on ART rate [both

h i under 5 years rate 10 [both sexes | sexes all ages | 70 70 DHIS] DHIS] 1 _ 4 C 2 2 60 60 4 4 3 4 5 3 6

3 3 C 100 1 100 31 U

Pneumonia case 2 2 Antiretroviral fatality under 5 effective coverage 50 50 years rate [both 15 [both sexes 0-14 sexes <5 years | 1 1 years | DHIS-Tier] DHIS] 8 52 51 0 1 1 1 0 0 0 7 e n t

m 81 81 50 50 80 80 e a t r

t 23 TB DS treatment 79 79 Antiretroviral 35 40 40 success rate [both 78 78 effective coverage [both sexes 15+ sexes all ages | 77 77 years | DHIS-Tier] 2 _ 1 T B 35 ETR/Tier.Net] 76 76 30 30 75 75 74 74 48 51 20 51 20 73 73 7 50 50 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 Antiretroviral 40 40 effective coverage Measure Names Rank [both sexes all Prov av 1 51 ages | DHIS-Tier] 30 30 ZA av 46 Ind Value 20 51 20 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

503 Section B: NationalProfile Western and District Cape ProfilesProvince

Central Karoo: DC5 Central Karoo: DC5 9

C 3500 3500 U 80 80 Age-standardised n a c e Expenditure per prevalence of non-raised blood patient day 75 75 4 _ 5 F i equivalent (district 3000 3000 pressure (index) 45 hospitals) [ | BAS [both sexes 15+ 48 real 2019/20 years | NiDS 48 70 50 70 prices] modelled] 50 2500 2500 51 e s e n t 50 4K 4K a b e t

i Provincial & LG 20 49 20 District Health Diabetes a n g e m Services

m prevalence [both 48 3 _ 2 D expenditure per 3K 3K sexes 15+ years | 15 15 capita (uninsured) [ NiDS modelled] 44 | BAS real 2019/20 38 prices] 10 34 10 2K 2K

1 0 45 45 10 1900 1900 C

U 11 1800 1800 Provincial & LG 1700 1700 Diabetes treatment 40 13 40 PHC expenditure 1600 1600 coverage [both 19 per capita 1500 1500 sexes 15+ years | 23 (uninsured) [ | BAS NiDS modelled] real 2019/20 1400 1400 35 25 35 prices] 1300 1300 1200 1200 30 30 1100 1100

o n 600 600 i 70 2 70

e c t 10 Provincial & LG

d e t 4

60 60 Cervical cancer PHC expenditure screening 16 per PHC 500 500 a n c e r coverage [female | 50 50 headcount [ | BAS DHIS] real 2019/20 prices] 3 _ C 40 40 28 29 400 400 1 2

C 80 80 38 U s e a 13 13 d i

Tobacco Percentage of non-smoking o f 70 70 deaths garbage 29 prevalence (index) 12 12

d e n codes [both sexes [both sexes 15+ all ages | vital 21 years | NiDS B u r 60 60 registration] modelled] 11 11 51 51 51 51 51 51 50 50 10 10 e n t i 19 19 15 15 a c e s

n p a t 22 i y 20 19 t 18 i Hospital beds per 18 18 Percentage of l 10 000 target deaths ill-defined population [ | DHIS 18 18 [both sexes all 10 10 2000-2030 public ages | vital

4 _ 1 F a c i sector] registration] 2 2 17 17 5 2 5 y t 40 40 14

d e n s i Percentage of Medical YLLs due to

k e r 15 15 practitioners per communicable, o r

w 100 000 population maternal, perinatal, h

t [both sexes | public 30 30 nutrition causes

e a l sector] 23 [both sexes | vital 10 10 registration] 7 24 7 26 3 4 _ 2 H

30 1 1 30 1 1 25 25 Percentage of Pharmacists per YLLs due to HIV 100 000 population and TB [both [both sexes | public 20 20 sexes | vital 6 sector] 12 registration] 20 20

7 10 10 52 140 140 52 20 20 Professional 50 33 34 Percentage of nurses per 100 34 34 000 population YLLs due to 18 18 120 120 injuries [both sexes [both sexes | public | vital registration] sector] 16 16

100 100 14 14 55 55 n e s a n d 100 1 100

c i

C 45

e d i 10 18 Percentage of P H 44 m YLLs due to 50 46 50 Percentage Ideal non-communicable 50 50 clinics [ | IC status] diseases [both 19 sexes | vital 45 45 registration] 4 _ 3 A c e s

0 11 35 0 40 40 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

504