OUR IMPACT ON THE
FREE STATE
The Free State, a province comprising 10.6% of South Africa’s land, is a crucial agricultural region, producing over 70% of the country’s grain. Its low poverty rate (5.5%) aligns with its agricultural significance. However, the province’s intensity of poverty (41.7%) reflects South Africa’s broader socio-economic challenges. To address the triple burden of malnutrition in the Free State, Operation Hunger has conducted research and developed data to analyze the region’s drivers and determinants.
OUR IMPACT ON THE
FREE STATE
The Free State, a province comprising 10.6% of South Africa’s land, is a crucial agricultural region, producing over 70% of the country’s grain. Its low poverty rate (5.5%) aligns with its agricultural significance. However, the province’s intensity of poverty (41.7%) reflects South Africa’s broader socio-economic challenges. To address the triple burden of malnutrition in the Free State, Operation Hunger has conducted research and developed data to analyze the region’s drivers and determinants.
Free State Economic Data
Structure of the Free State Economy – GDPR Contribution
- Community Services 2%
- Agriculture 1.7%
- Manufacturing 1.3%
- Construction 0%
- Mining 0%
OUR ACTIVE COMMUNITIES
Communities in which Operation Hunger is currently impacting
employment in the Free State
Total working age population is estimated at:
1.9 MILLION
1.9 MILLION
745
THOUSAND
employed
119
THOUSAND
economically inactive
374
THOUSAND
unemployed
80
THOUSAND
discouraged
798
THOUSAND
economically inactive
Formal and Informal Sector Employment
The formal sector is accounting for 43.3% of all employment. The informal accounts for 28.6% of all employment.
- Formal Sector 43%
- Informal Sector 29%
Spacial Consideration
Rural areas have been more affected than urban areas and urban areas have been more prone to recover jobs than rural Areas.
Employment Demographics Characteristics
51.4% of employed individuals have grade 12 or tertiary education. 73.9% males participated in labour force compared to 6.7% of females..
Youth Labour Market Trends
Working age population (15-34 years)
757,00
EMPLOYED
403,00
UNEMPLOYED
726,00
ECONOMICALLY INACTIVE
82,00
DISCOURAGED WORK-SEEKERS
Formal and Informal Sector Employment
The formal sector is accounting for 43.3% of all employment. The informal accounts for 28.6% of all employment.
- Formal Sector 43%
- Informal Sector 29%
Spacial Consideration
Rural areas have been more affected than urban areas and urban areas have been more prone to recover jobs than rural Areas.
Employment Demographics Characteristics
51.4% of employed individuals have grade 12 or tertiary education. 73.9% males participated in labour force compared to 6.7% of females..
Youth Labour Market Trends
Working age population (15-34 years)
757,00
EMPLOYED
403,00
UNEMPLOYED
726,00
ECONOMICALLY INACTIVE
82,00
DISCOURAGED WORK-SEEKERS
SOURCES OF SUPPORT AMOUNTS
THE UNEMPLOYED
FIRST QUATER 1- 2018
7.3
OLD AGE
2.9
WAR VETERANS
7.5
DISABILITY
8.9
GRANT AID
7.7
FOSTER CHILD
7.1
CHILD SUPPORT
8.9
CARE DEPENDENCY
SOURCES OF SUPPORT AMOUNTS
THE UNEMPLOYED
FIRST QUATER 1- 2018
7.3
OLD AGE
2.9
WAR VETERANS
7.5
DISABILITY
8.9
GRANT AID
7.7
FOSTER CHILD
7.1
CHILD SUPPORT
8.9
CARE DEPENDENCY
Population dynamics
2.9 MILLION
TOTAL POPULATION
29,135
PLUS NET MIGRATIONS
inequality and human development
0.670 GINI COEFFICIENT
0.650 HUMAN INDEX
0.670 GINI COEFFICIENT
0.650 HUMAN INDEX
health
40 DISTRICT HOSPITALS
10 HEALTH CARE COMMUNITY CENTRE
10 HEALTH CARE COMMUNITY CENTRE
LEADING NATURAL CAUSES
OF DEATH
DIABETES |
HEART DISEASE |
HIV / AIDS |
36,226
LEARNER ENROLLMENT
85.7% NSC RESULTS |
6.1% NO SCHOOL |
9.5% SOME PRIMARY |
5.2% COMPLETE PRIMARY |
36.9% SOME SECONDARY |
36,226
LEARNER ENROLLMENT
85.7% NSC RESULTS |
|
9.5% SOME PRIMARY |
|
36.9% SOME SECONDARY |
LIFE EXPECTANCY
60.9 years
MALES
63.3 years
FEMALES
PERCENTAGE OF HOUSEHOLDS THAT LIVE
80.6% FORMAL |
17.9% INFORMAL |
1.3% TRADITIONAL |
0.2% OTHER |
80.6% FORMAL |
17.9% INFORMAL |
1.3% TRADITIONAL |
0.2% OTHER |
TYPES OF SANITATION FACILITIES
70.3% BASIC |
29.4% LIMITED |
1.3% UNIMPROVED |
70%
BASIC
29.4%
LIMITED
1.3%
UNIMPROVED
FOOD PRODUCTION
GRAINS
%
Industrial Crops
%
Grains and Food Crops
HORTICULTURAL PRODUCT
%
Fruit and Vegetable Crops
ANIMAL PRODUCTION
POULTRY AND DAIRY
%
Livestock Production
%
Poultry Production
15.7%
PERCENTAGE OF HOUSEHOLDS INVOLVED IN
AGRICULTURAL ACTIVITIES
PERCENTAGE DISTRIBUTION OF SOURCES OF HOUSEHOLD INCOME
70.3% SALARIES |
32.1% GRANTS |
10.7% REMITTANCES |
19.1% INCOME FROM BUSINESS |
3.8% PENSIONS |
ADEQUACY OR INADEQUACY
7.8% SEVERLY INADEQUITE |
18.3% ACCESS INADEQUATE |
73.9% SEVERLY ADEQUATE |
15.7%
PERCENTAGE OF HOUSEHOLDS INVOLVED IN
AGRICULTURAL ACTIVITIES
PERCENTAGE DISTRIBUTION OF SOURCES OF HOUSEHOLD INCOME
70.3% SALARIES |
32.1% GRANTS |
19.1% INCOME FROM BUSINESS |
3.8% PENSIONS |
PERCENTAGE OF HOUSEHOLDS EXPERIENCING FOOD
ADEQUACY OR INADEQUACY
7.8% SEVERLY INADEQUITE |
18.3% ACCESS INADEQUATE |
HOUSEHOLD CONSUMPTION OF FOODS FROM DIFFERENT FOOD GROUPS BASED ON SOUTH AFRICA
%
Grain Based
%
Meat Based
%
Vegetable Based
%
Roots & Tubes
%
Eggs
%
Fruits
%
Fresh Fish, Dried Fish or Shellfish
%
Cheese, Yoghurt, Milk, Other Dairy
%
Beans, Pease, Lentils, or Nuts
%
Foods made of Oil, Fat or Butter
%
Sugar, Honey, Tea, or Coffee
%
Other Foods: Condiments
Consistency of Food Access by Food Security Status Based in South Africa
FOOD AS PROPORTION OF TOTAL
HOUSEHOLD EXPENDITURE
%
INDIVIDUALS
%
HOUSEHOLDS
Food Expenditure for low income household
PAP | RICE | BEANS | FAT OIL |
SUGAR | MILK | POTATOES | POULTRY |
COMPARITIVE SOURCES OF INCOME IN
THE FREE STATE
49.7% SALARIES |
61.1% GRANTS |
21.1% REMITTANCES |
11% INCOME FROM BUSINESS |
5.6% PENSIONS |
Monthly household expenditure
Food Expenditure for low income household
PAP | RICE |
SUGAR | MILK |
BEANS | FAT OIL |
POTATOES | POULTRY |
COMPARITIVE SOURCES OF INCOME IN
THE FREE STATE
49.7% SALARIES |
61.1% GRANTS |
11% INCOME FROM BUSINESS |
5.6% PENSIONS |
Monthly household expenditure
GET IN TOUCH, HELP SOUTH AFRICA
ACHIEVE SUSTAINABLE NUTRITIONAL SECURITY!
There are so many ways in which you can get involved to help contribute to fighting malnutrition in this beautiful country. We look forward to hearing from you.
There are so many ways in which you can get involved to help contribute to fighting malnutrition in this beautiful country. We look forward to hearing from you.