Human Capital

This page outlines what data Codera makes available through EconData, relating to human capital (including population and labour market data). This “Human Capital” Category falls under our EconData StatsSA Category Scheme. In these dataflow docs, we outline the dimensions in the series keys we use, and detail the codes used in those concepts.

Regional Population Data

Mid-year population estimates: This statistical release contains estimations of the population of South Africa. Click here for more info.


Publication code: P0302

Supplier source page

SARB Population Data


Quarterly Labour Force Survey (QLFS)

The QLFS is designed to measure the dynamics of the South African labour market, producing indicators such as employment, unemployment and inactivity. Click on this paragraph to expand details on the dimensions included in our dataflow.


Codera Analytics engineers the aggregate Excel file, loading our structured data into EconData within half an hour of the data being made publicly available by StatsSA. See our blog posts here:

Overall dataset concepts

CountrySouth Africa
Publication codeP0211
Unit MultiplierThousands

The series starts at the beginning of 2008, unless otherwise stated.

Supplier source page

Data Key

The data key contains four dimensions. The order of the data_key is:


The number of characters in the codes (as outlined below) used in the dimensions are 4, 5, 2 and 1 respectively, with full-stops between the codes in the data key.

When the dimensions are put together, 1143 series are available.


“LABSTAT” stands for labour statistic, but this dimension could be referred to as the “variables”. In most cases the concept is the estimated number of people in South Africa’s population falling into the definition, based on survey weights. Some concepts are percentages (where R for ‘rate’ is used for the third character).

  • Population count POPC
  • Labour Force (narrow) LFON
  • Labour Force (broad) LFOB
  • Employed EMPL
  • Unemployed (narrow) UNEN
  • Unemployed (broad) UNEB
  • Not economically active (narrow) NEAN
  • Not economically active (broad) NEAB
  • Discouraged work seekers DWSE
  • Other not economically active NEAO
  • NEA: Student NEAS
  • NEA: Home-maker NEAH
  • NEA: Illness/disability NEAI
  • NEA: Too old/young to work NEAA
  • NEA: Other (excluding the above) NEAE
  • Unemployment rate (narrow) UNRN
  • Unemployment rate (broad) UNRB
  • Absorption rate (employed/population) ABRP
  • Labour force participation rate (narrow) LPRN
  • Labour force participation rate (broad) LPRB
  • Contributing towards pension/retirement funds: Yes CPFY
  • Contributing towards pension/retirement funds: No CPFN
  • Contributing towards pension/retirement funds: Don’t know CPFD
  • Entitled to any paid leave: Yes EPLY
  • Entitled to any paid leave: No EPLN
  • Entitled to any paid leave: Don’t know EPLD
  • Entitled to paid sick leave: Yes ESLY
  • Entitled to paid sick leave: No ESLN
  • Entitled to paid sick leave: Don’t know ESLD
  • Entitled to maternity/paternity leave: Yes EMLY
  • Entitled to maternity/paternity leave: No EMLN
  • Entitled to maternity/paternity leave: Don’t know EMLD
  • Contributing towards the UIF: Yes CUFY
  • Contributing towards the UIF: No CUFN
  • Contributing towards the UIF: Don’t know CUFD
  • Medical aid fringe benefits: Yes EMFY
  • Medical aid fringe benefits: No EMFN
  • Medical aid fringe benefits: Don’t know EMFD
  • Income tax (PAYE/SITE) deduction: Yes DITY
  • Income tax (PAYE/SITE) deduction: No DITN
  • Income tax (PAYE/SITE) deduction: Don’t know DITD
  • Condition of employment: Written contract ECWC
  • Condition of employment: Verbal agreement ECVA
  • Nature of contract/agreement: Limited duration ECLD
  • Nature of contract/agreement: Permanent nature ECPN
  • Nature of contract/agreement: Unspecified duration ECUD
  • Trade union membership: Yes ETUY
  • Trade union membership: No ETUN
  • Trade union membership: Don’t know ETUD
  • How annual salary increment is negotiated: Individual and employer ESNI
  • How annual salary increment is negotiated: Union and employer ESNU
  • How annual salary increment is negotiated: Bargaining council ESNB
  • How annual salary increment is negotiated: Employer only ESNE
  • How annual salary increment is negotiated: No regular increment ESNN
  • How annual salary increment is negotiated: Other ESNO
  • Underemployed: Count UDEC
  • Underemployed: Percentage of the labour force UDRL
  • Underemployed: Percentage of total employment UDRE
  • Unemployed: Job losers UNES
  • Unemployed: Job leavers UNEA
  • Unemployed: New entrants UNEW
  • Unemployed: Re-entrants UNER
  • Unemployed: Other UNEO
  • Unemployment: Long-term unemployment (one year and more) UNEY
  • Unemployment: Short-term unemployment (less than one year) UNEX
  • Long-term unemployment: Proportion of the labour force UNYL
  • Long-term unemployment: Proportion of the unemployed UNYU
  • Unemployed, but worked in the past five years UN5T
  • Unemployed, but worked in the past five years: Previous occupation UN5O
  • Unemployed, but worked in the past five years: Previous industry UN5I
  • Inactivity rate (per cent) INRA
  • Not in education nor employment NEET
  • Involvement in non-market activities: Subsistence farming NMSF
  • Involvement in non-market activities: Fetching water or collecting wood/dung NMWW
  • Involvement in non-market activities: Produce other goods for household use NMGH
  • Involvement in non-market activities: Construction or major repairs to own or household NMCR
  • Involvement in non-market activities: Hunting or fishing for household use NMHF
  • Involvement in non-market activities: Involvement in at least one activity NM1A
  • Involvement in non-market activities: Involvement in at least one activity, and employed NM1E
  • Involvement in non-market activities: Involvement in at least one activity, and unemployed NM1U
  • Involvement in non-market activities: Involvement in at least one activity, and NEA NM1N


In this dataflow, the most common category is the total, as shown at the top of the list below, noting that the entire Excel file is restricted to the working age population, 15–64 years old. The first letter of the codes in the data key groups the categories into ‘super-categories’.

  • Age group: 15-64 years (Total) TOTAL
  • Age group: 15-24 years A1524
  • Age group: 25-34 years A2534
  • Age group: 35-44 years A3544
  • Age group: 45-54 years A4554
  • Age group: 55-64 years A5564
  • Age group: 25-54 years A2554
  • Population group: Black/African RBLCK
  • Population group: Coloured RCOLR
  • Population group: Indian/Asian RASAN
  • Population group: White RWHTE
  • Industry: Agriculture IAGRA
  • Industry: Mining IMINA
  • Industry: Manufacturing IMANA
  • Industry: Utilities IUTLA
  • Industry: Construction ICONA
  • Industry: Trade ITRDA
  • Industry: Transport ITRNA
  • Industry: Finance IFINA
  • Industry: Community and social services ISERA
  • Industry: Private households IHOSA
  • Industry: Other IOTHA
  • Industry: Mining: Formal sector IMINF
  • Industry: Manufacturing: Formal sector IMANF
  • Industry: Utilities: Formal sector IUTLF
  • Industry: Construction: Formal sector ICONF
  • Industry: Trade: Formal sector ITRDF
  • Industry: Transport: Formal sector ITRNF
  • Industry: Finance: Formal sector IFINF
  • Industry: Community and social services: Formal sector ISERF
  • Industry: Private households: Formal sector IHOSF
  • Industry: Other: Formal sector IOTHF
  • Industry: Mining: Informal sector IMINI
  • Industry: Manufacturing: Informal sector IMANI
  • Industry: Utilities: Informal sector IUTLI
  • Industry: Construction: Informal sector ICONI
  • Industry: Trade: Informal sector ITRDI
  • Industry: Transport: Informal sector ITRNI
  • Industry: Finance: Informal sector IFINI
  • Industry: Community and social services: Informal sector ISERI
  • Industry: Private households: Informal sector IHOSI
  • Industry: Other: Informal sector IOTHI
  • Sector: Formal and informal (non-agricultural) SFRIN
  • Sector: Formal (non-agricultural) SFORM
  • Sector: Informal (non-agricultural) SINFM
  • Sector: Agriculture SAGRI
  • Sector: Private households SHOUS
  • Occupation: Manager OMNGR
  • Occupation: Professional OPROF
  • Occupation: Technician OTECH
  • Occupation: Clerk OCLRK
  • Occupation: Sales and services OSALE
  • Occupation: Skilled agriculture OAGRI
  • Occupation: Crafts and related trades OCRFT
  • Occupation: Plant and machinery operators OMACH
  • Occupation: Elementary occupations (probably excluding domestic workers) OELEM
  • Occupation: Domestic workers ODWRK
  • Occupation: Other OOTHR
  • Status in employment: Employee TELEE
  • Status in employment: Employer TEYER
  • Status in employment: Own-account worker TOWNA
  • Status in employment: Unpaid household member TUNPD
  • Usual hours of work per week: <15 WLT15
  • Usual hours of work per week: 15-29 W1529
  • Usual hours of work per week: 30-39 W3039
  • Usual hours of work per week: 40-45 W4045
  • Usual hours of work per week: >45 WGT45
  • Education: No schooling ENONE
  • Education: Less than primary completed ELTPS
  • Education: Primary completed EPRIM
  • Education: Secondary not completed ESNOT
  • Education: Secondary completed ESECD
  • Education: Tertiary ETERT
  • Education: Other EOTHR
  • Educational attendance: Attending educational institution GATTD
  • Educational attendance: Not attending educational institution GANOT
  • Marital status: Married MMARR
  • Marital status: Living together like husband and wife MLIVE
  • Marital status: Widow(er) MWIDW
  • Marital status: Divorced or separated MSEPT
  • Marital status: Never married MNEVR

AREA (Province/Metro)

The province codes end with “P”.

  • South Africa SA
  • Western Cape WP
  • Western Cape: Non metro WN
  • Western Cape: City of Cape Town WC
  • Eastern Cape EP
  • Eastern Cape: Non metro EN
  • Eastern Cape: Buffalo City EB
  • Eastern Cape: Nelson Mandela Bay EG
  • Northern Cape NP
  • Free State FP
  • Free State: Non metro FN
  • Free State: Mangaung FM
  • KwaZulu Natal KP
  • KwaZulu Natal: Non metro KN
  • KwaZulu Natal: eThekwini KD
  • North West TP
    “T” for “Tswana”
  • Gauteng GP
  • Gauteng: Non metro GN
  • Gauteng: Ekurhuleni GE
  • Gauteng: Johannesburg GJ
  • Gauteng: Tshwane GT
  • Mpumalanga MP
  • Limpopo LP


  • Any A
  • Male M
  • Female F


StatsSA Categories