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% 2%
  • Agriculture 1.7% 1.7%
  • Manufacturing 1.3% 1.3%
  • Construction 0% 0%
  • Mining 0% 0%

OUR ACTIVE COMMUNITIES

Communities in which Operation Hunger is currently impacting

  • Dinge Village
  • Dwesi
  • Dwesi Section 2
  • Ekukhwezeni Village
  • Helenvale
  • Joe Slovo
  • Ntsitshana Village
  • Red Location
  • Sixhokxweni Village
  • Lingelethu
  • Kwanobuhle
  • KwaDwesi
  • Mother Well
  • Njovana Village
  • Ndlovana
  • Thaga Village
  • Veeplaas

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% 43%
  • Informal Sector 29% 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% 43%
  • Informal Sector 29% 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

40 DISTRICT HOSPITALS

10 HEALTH CARE COMMUNITY CENTRE

LEADING NATURAL CAUSES
OF DEATH

DIABETES

HEART DISEASE

HIV / AIDS

The Inequality and statistics for education in the Free State

36,226

LEARNER ENROLLMENT

85.7%

NSC RESULTS

6.1%

NO SCHOOL

9.5%

SOME PRIMARY

5.2%

COMPLETE PRIMARY

36.9%

SOME SECONDARY

The Inequality and statistics for education in the Free State

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

PERCENTAGE OF HOUSEHOLDS EXPERIENCING FOOD
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.

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