Socio-Economic Report - Department of Agriculture and ...

More documents

Recommendations

Info

UDM ENVIRONMENTAL MANAGEMENT FRAMEWORK should strive to open communication channels with the private sector as well so that long-term lease and development agreements can be the stimulus for growth. DEMOGRAPHICS Demographic analysis aims to understand the community, the population dynamics and the living conditions. Data from Community Survey 2007, Census 2001 and Quantec Research will used to develop this understanding. POPULATION Using Statistics South Africa data presented in Table 4, the population for UDM in 2001 was 573 341 persons which increased to 614 046 in 2007. Households during this period increase from 25 959 in 2001 to 27 006 in 2007. Jozini LM has the largest population of 207 250 persons. This is followed by Umhlabuyalingana LM where the population rose from 140 98 to 163 694 during the period. Conversely, Hlabisa LM, with the third largest population had declined over the period from 176 890 to 150 557 persons. Despite this decline in population, the number of households in Hlabisa has increased from 26 876 in 2001 to 38 260 in 2007. The uMkhanyakude SDF reports the population growth rate to be 1.65 percent in comparison to South Africa’s population growth rate of 2.7 percent. The SDF states that this growth rate is affected by HIV/AIDs which has raised the death rate. Migration and urban bias are also contributing factors to low population growth. (Isikhungusethu Environmental Services (Pty) Ltd, 2008). Table 4 Population Statistics of UDM (Stats SA, 2001) (Statistics South Africa, 2007) Municipality Average Household Persons Households Size Census Census Census CS 2007 CS 2007 CS 2007 2001 2001 2001 Umhlabuyalingana - KZN271 140 958 163 694 25 959 27 006 5.3 6.0 Jozini - KZN272 184 052 207 250 33 534 38 530 5.4 5.3 The Big Five False Bay - KZN273 31 291 34 991 6183 6 657 48 5.2 Hlabisa - KZN274 176 890 150 557 26876 29 260 6.5 5.1 Mtubatuba - KZN275 33 612 46 596 7472 11 339 4.2 4 DMA27 65 38 10 958 1539 2 181 4.1 4.6 uMkhanyakude 573 341 614 046 101563 114 973 5.5 5.3 The household sizes for the region are also provided for in the table above. There has been a marginal decline in household size for Jozini from 5.5 persons to 5.3. Umhlabuyalingana LM has the highest average household size of 6 persons in contrast to Mtubatuba LM with 4 persons per household. Socio-Economic Assessment Page 24
UDM ENVIRONMENTAL MANAGEMENT FRAMEWORK AGE AND GENDER Age and Gender are important to understand the level of economic activity that is likely to occur, as well aspects of migration and gender-headed households. Analysis of uMkhanyakude DM population indicates that strong migration of males out of the area leaving female headed households and a strong dependency on youth in the areas. According to Community Survey 2007 data shown in the table below, 54 percent of the population age below the age of 20 indicating a large number of youth in the area. Of this population 51 percent are male and 49 percent are females. Table 5: Number of People per Age and Gender (Statistics South Africa, 2007) Age Group Male Female uMkhanyakude % of UDM 0 - 4 37 194 36 617 73 811 12% 5 - 09 45 381 42 365 87 746 14% 10 - 14 44 346 43 073 87 419 14% 15 - 19 39 311 40 580 79 891 13% 20 - 24 29 135 32 323 61 458 10% 25 - 29 18 432 21 966 40 398 7% 30 - 34 14 479 19 278 33 757 5% 35 - 39 13 017 20 313 33 330 5% 40 - 44 8 924 15 800 24 724 4% 45 - 49 6 920 14 666 21 586 4% 50 - 54 6 721 8 622 15 343 2% 55 - 59 5 294 7 863 13 157 2% 60 - 64 4 247 6 234 10 481 2% 65 - 69 3 616 6 882 10 498 2% 70 - 74 1 857 4 645 6 502 1% 75 - 79 1 664 4 581 6 245 1% 80 - 84 1 312 2 428 3 740 1% 85 + 1 094 2 881 3 975 1% Total 282 944 331 117 614 061 - Percentage 46 % 54% 100% 100% 41 percent of the population are of working age defines as 20 – 64 years old as shown in the table above. Of this population 42 percent are male and 58 percent are female. Compared the youth statistics where 51 percent of the population are male, there is a strong decline of males in the area. Thus there is an imbalance of male-female ratio. While this imbalance follows that of national and provincial trends, but the cause of this trend is due to migration of job seeking males to urban areas (uMkhanyakhude District Municipality, 2010). According to the UDM SDF, migration in UDM can be explained by both economic and non economic factors. Economic factors are based on the search for employment or improved employment and income opportunities. Non economic factors include household and demographic characteristics including unexpected Socio-Economic Assessment Page 25
Page 1 and 2: UDM ENVIRONMENTAL MANAGEMENT FRAMEW
Page 23: UDM ENVIRONMENTAL MANAGEMENT FRAMEW
Page 67: UDM ENVIRONMENTAL MANAGEMENT FRAMEW

Socio-Economic Report - Department of Agriculture and ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?