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10 (Section B) Gauteng Province DHP20172018

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10 (Section B) Gauteng Province DHP20172018 Section B: DistrictProfile GautengHealth Profiles Province 10 Gauteng Province Sedibeng District Municipality (DC42) Overview of the district The Sedibeng District Municipalitya is a Category C municipality situated on the southern tip of the Gauteng Province and strategically located on the border of three other provinces, namely Free State, North West and Mpumalanga. The municipality is the only area in the province that is situated on the banks of the Vaal River and Vaal Dam, covering the area formerly known as the Vaal Triangle. The municipality is a stone’s throw from Johannesburg along the scenic Vaal, Klip and Suikerbos Rivers. It is comprised of the Emfuleni, Lesedi and Midvaal Local Municipalities and includes the historic townships of Evaton, Sebokeng, Boipatong, Bophelong, Sharpeville and Ratanda, which have a rich political history and heritage. It has a variety of attractions offering a vast cultural heritage and historical experience. The Sedibeng region boasts several heritage sites related to the South African War of 1899–1902 and the two World Wars that followed. The Sharpeville Memorial Precinct stands as a reminder of the Sharpeville Massacre of 21 March 1960 when 69 people lost their lives while protesting the pass laws of the then apartheid South Africa. Sedibeng is the fourth-largest contributor to the Gauteng economy. The predominant economic sector in the district is the manufacturing of fabricated metal and chemicals. In the metal sector, the Arcelor-Mittal Steel plant, the Cape Gate Davsteel Wire and Steel plant, and the Ferromanganese plant of Samancor are the three main large baseline plants in the district, while DCDDorbyl Heavy Engineering is the biggest manufacturer of engineered products in Southern Africa. Area: 4 173km² Population (2016)b: 961 306 Population density (2016): 230.4 persons per km2 Estimated medical scheme coverage: 21.2% Cities/Towns: De Deur/Walkerville, Devon, Eikenhof, Evaton, Heidelberg, Meyerton, Nigel, Sebokeng, Vaal Marina, Vaal Oewer, Vanderbijlpark, Vereeniging, Vischkuil. Main Economic Sectors: Manufacturing (30.8%), government (17.8%), business services (17.8%), trade (13.7%). Population distribution, local municipality boundaries and health facility locations Source: Mid-Year Population Estimates 2016, Stats SA. a The Local Government Handbook South Africa 2017. A complete guide to municipalities in South Africa. Seventh edition. Accessible at: www. municipalities.co.za. b Mid-Year Population Estimates 2016, Stats SA. 254 SectionSection B: ProfileB: District Gauteng Health Province Profiles DistrictSedibeng population DM (DC42) pyramid and comparison with the national pyramid Year AgeGrp 2006 2016 65+ 15 618 21 199 24 885 32 990 60-64 years 12 426 13 198 16 599 18 257 55-59 years 17 174 16 944 20 538 21 915 50-54 years 21 838 22 102 23 459 24 298 45-49 years 25 770 25 925 27 230 27 137 40-44 years 28 644 28 407 32 556 31 395 35-39 years 32 797 31 807 37 596 36 781 30-34 years 37 978 36 159 39 730 39 390 25-29 years 40 815 40 333 46 547 44 880 20-24 years 38 665 39 858 43 284 41 991 15-19 years 40 221 40 636 37 180 36 601 10-14 years 37 526 37 026 39 824 39 525 05-09 years 36 349 35 657 42 943 43 003 00-04 years 41 212 40 745 45 788 44 984 500 000 0 500 000 500 000 0 500 000 Population Population 2006 2016 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% 65+ 1.8% 2.5% 2.6% 3.4% 60-64 years 1.4% 1.5% 1.7% 1.9% 55-59 years 2.0% 2.0% 2.1% 2.3% 50-54 years 2.5% 2.6% 2.4% 2.5% 45-49 years 3.0% 3.0% 2.8% 2.8% 40-44 years 3.3% 3.3% 3.4% 3.3% 35-39 years 3.8% 3.7% 3.9% 3.8% 30-34 years 4.4% 4.2% 4.1% 4.1% 25-29 years 4.8% 4.7% 4.8% 4.7% 20-24 years 4.5% 4.7% 4.5% 4.4% 15-19 years 4.7% 4.7% 3.9% 3.8% 10-14 years 4.4% 4.3% 4.1% 4.1% 05-09 years 4.2% 4.2% 4.5% 4.5% 00-04 years 4.8% 4.8% 4.8% 4.7% 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 Gender male female Source: Mid-Year Population Estimates 2016, Stats SA. Graph 1: District population pyramid 2006 and 2016 Graph 2: District % population by age-gender group in 2006 and 2016 compared to South Africa Sedibeng DM (DC42) Show history 255 Section B: DistrictProfile GautengHealth Profiles Province Social determinants of health Source: Stats SA (Local Government Handbook), 2014 Blue Drop Report. 256 SectionSection B: ProfileB: District Gauteng Health Province Profiles GP, Sedibeng: DC42 Burden of disease – leading causes of death in district Percentage of deaths by broad causes and single leading causes Show history GP, Sedibeng: DC42 Broadcause Injury AgeGroup.. 2006-2010 2011-2015 NCD <5 years 82% 7%7%4% 77% 5%11% 7% HIV and TB 5-14 36% 20% 14% 29% 28% 17% 18% 37% Comm_mat_peri_nut 15-24 30% 18% 16% 36% 22% 21% 17% 40% 25-64 32% 24% 34% 10% 22% 26% 39% 12% 65+ 16% 3% 79% 2% 15% 4% 78% 3% Total 34% 17% 41% 9% 24% 18% 48% 10% Rank_.. 2006-2010 2011-2015 1 Diarrhoeal diseases (25.1%) Lower respiratory infections (20.2%) Percentages are shown 2 Lower respiratory infections (25.0%) Preterm birth complications (16.5%) according to all the 3 Preterm birth complications (15.1%) Diarrhoeal diseases (15.4%) deaths within the 4 HIV/AIDS (6.1%) Sepsis/other newborn infectious (8.3%) age/period category of 5 Birth asphyxia (5.9%) Birth asphyxia (6.7%) each box, although only 6 Protein-energy malnutrition (4.4%) HIV/AIDS (4.1%) the leading 10 causes are <5 years <5 Sepsis/other newborn infectious (2.1%) Protein-energy malnutrition (3.7%) 7 displayed. 8 Other perinatal conditions (1.7%) Other perinatal conditions (2.6%) 9 Meningitis/encephalitis (1.4%) Septicaemia (2.2%) 10 Accidental threats to breathing (1.3%) Fires, hot substances (2.2%) 1 Lower respiratory infections (18.0%) Lower respiratory infections (11.9%) 2 Tuberculosis (10.8%) Drowning (11.9%) 3 Diarrhoeal diseases (10.5%) Accidental threats to breathing (10.8%) 4 HIV/AIDS (10.3%) HIV/AIDS (9.2%) 5 Road injuries (9.2%) Tuberculosis (8.9%) 5-14 6 Drowning (5.9%) Other unintentional injuries (7.1%) 7 Meningitis/encephalitis (5.0%) Diarrhoeal diseases (6.5%) 8 Accidental threats to breathing (4.7%) Fires, hot substances (4.6%) 9 Fires, hot substances (4.5%) Epilepsy (4.0%) 10 Mechanical forces (3.2%) Meningitis/encephalitis (3.4%) 1 Lower respiratory infections (16.5%) Interpersonal violence (13.9%) 2 Interpersonal violence (12.2%) Lower respiratory infections (11.5%) 3 Tuberculosis (11.5%) Tuberculosis (11.5%) 4 Road injuries (7.0%) HIV/AIDS (10.3%) 5 HIV/AIDS (6.9%) Accidental threats to breathing (9.8%) 6 Diarrhoeal diseases (6.2%) Mechanical forces (7.7%) 15-24 7 Mechanical forces (6.0%) Diarrhoeal diseases (3.6%) 8 Accidental threats to breathing (5.9%) Fires, hot substances (3.5%) 9 Meningitis/encephalitis (5.0%) Meningitis/encephalitis (3.1%) 10 Endocrine nutritional,blood, immune (1.8%) Epilepsy (2.2%) 1 Lower respiratory infections (19.5%) Tuberculosis (14.8%) 2 Tuberculosis (15.5%) Lower respiratory infections (13.4%) 3 HIV/AIDS (8.1%) HIV/AIDS (11.4%) 4 Diarrhoeal diseases (6.8%) Cerebrovascular disease (5.8%) 5 Ischaemic heart disease (4.8%) Ischaemic heart disease (5.6%) 6 Cerebrovascular disease (4.7%) Diarrhoeal diseases (3.7%) 25-64 7 Meningitis/encephalitis (3.8%) Mechanical forces (3.4%) 8 Hypertensive heart disease (3.1%) Diabetes mellitus (3.2%) 9 Diabetes mellitus (3.0%) Nephritis/nephrosis (3.0%) 10 Interpersonal violence (2.4%) Meningitis/encephalitis (2.9%) 1 Cerebrovascular disease (14.3%) Cerebrovascular disease (14.8%) 2 Ischaemic heart disease (14.2%) Ischaemic heart disease (14.3%) 3 Lower respiratory infections (10.4%) Lower respiratory infections (9.7%) 4 Hypertensive heart disease (9.1%) Hypertensive heart disease (7.7%) 5 Diabetes mellitus (6.6%) Diabetes mellitus (6.1%) 65+ 6 COPD (4.4%) COPD (4.2%) 7 Nephritis/nephrosis (4.0%) Nephritis/nephrosis (4.0%) 8 Diarrhoeal diseases (3.4%) Tuberculosis (3.0%) 9 Tuberculosis (2.4%) Diarrhoeal diseases (2.6%) 10 Prostate (1.9%) Septicaemia (2.1%) Maternal conditions Rank.. 2006-2010 2011-2015 1 Indirect maternal (36.6%) n=13 Indirect maternal (28.3%) n=36 2 Hypertension in pregnancy (27.2%) n=10 Other maternal (21.4%) n=27 3 Other maternal (14.9%) n=5 Maternal haemorrhage (17.0%) n=22 4 Maternal sepsis (12.2%) n=4 Hypertension in pregnancy (16.4%) n=21 15-49 Female 5 Abortion (9.0%) n=3 Abortion (12.2%) n=16 6 Maternal sepsis (4.8%) n=6 257 Section B: DistrictProfile GautengHealth Profiles Province Women and maternal health Source: DHIS. Value highlighted in green – performance is ranked among the 10 best in the country Value highlighted in red – performance is ranked among the 10 worst in the country Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.
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