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.
ID: POPULATION_DATA_REG
Publication code: P0302
SARB Population Data
ID: 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.
ID: QLFS
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: https://codera.co.za/?s=qlfs
Overall dataset concepts
Feature | Value |
---|---|
Country | South Africa |
Source | StatsSA |
Dataset | QLFS |
Publication code | P0211 |
Frequency | Quarterly |
Unit Multiplier | Thousands |
The series starts at the beginning of 2008, unless otherwise stated.
Data Key
The data key contains four dimensions. The order of the data_key
is:
LABSTAT.CATEGORY.AREA.SEX
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.
1. LABSTAT
“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
2. CATEGORY
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
SEX
- Any
A
- Male
M
- Female
F
StatsSA Categories