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
Dimensions
When we engineer the microdata, we calculate the various aggregations, and also provide those aggregations.
1. Mnemonic
- Population
POP
2. Province
- Kwazulu-Natal
KZN
- Western Cape
WC
- Free State
FS
- Eastern Cape
EC
- Limpopo
LM
- Gauteng
GP
- Northern Cape
NC
- North West
NW
- Mpumalanga
MP
- South Africa
ZA
3. Sex
- Male
M
- Female
F
- Any
A
4. Age
- 0-4 years of age
00
- 5-9 years of age
05
- 10-14 years of age
10
- 15-19 years of age
15
- 20-24 years of age
20
- 25-29 years of age
25
- 30-34 years of age
30
- 35-39 years of age
35
- 40-44 years of age
40
- 45-49 years of age
45
- 50-54 years of age
50
- 55-59 years of age
55
- 60-64 years of age
60
- 65-69 years of age
65
- 70-74 years of age
70
- 75-79 years of age
75
- 80+ years of age
80
- All ages
AA
Attributes
- Source Dataset: P0302
- Observation Status (Forecast value
F
; Normal valueA
) - Label
- Unit of Measure (People)
- Frequency (Annual)
See also the population data from SARB.
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
Quarterly Employment Statistics (QES)
The QES contains results of the Survey of Quarterly Employment Statistics in selected industries. The survey is designed to obtain information regarding the number of employees and gross salaries paid. Click on this paragraph to expand details on the dimensions included in our dataflow.
ID: QES
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.
Overall dataset concepts
Feature | Value |
---|---|
Country | South Africa |
Source | StatsSA |
Dataset | QES |
Publication code | P0277 |
Frequency | Quarterly |
Unit Multiplier | Units |
The series starts in quarter 3 of 2009, unless otherwise stated.
Data Key
The data key contains three dimensions. The order of the data_key
is:
MAJORDIVISION.INDUSTRY.SERIESNAME
The number of characters in the codes (as outlined below) used in the dimensions are 1, 6, and 2 respectively, with full-stops between the codes in the data key.
When the dimensions are put together, 230 series are available.
MAJOR DIVISION
This dimension records the industry at the SIC major division level, i.e. the top tier of the Standard Industrial Classification hierarchy that groups companies by industry.
- All industries
0
- Mining and quarrying
2
- Manufacturing
3
- Electricity, gas and water supply
4
- Construction
5
- Wholesale, retail and motor trade; hotels and restaurants
6
- Transport, storage and communication
7
- Financial intermediation, insurance, real estate and business services
8
- Community, social and personal services
9
INDUSTRY
This dimension refers to an industry at a more specific level. Each code starts with a letter, M
, D
, or G
. Codes starting with M
, D
, and G
determine whether the series is part of the first, second, or third level of the SIC hierarchy, respectively. The numbers that follow represent a 5-digit SIC code.
- Food, beverages and tobacco
D30000
- Textiles, clothing and leather
D31000
- Wood and products of wood and cork, except furniture, articles of straw and plainting materials, paper and paper products, publishing, printing and reproduction of recorded media
D32000
- Coke, refined petroleum products and nuclear fuel; chemicals and chemical products; rubber and plastic
D33000
- Non-metallic mineral products
D34000
- Basic metals, fabricated metal products , machinery and equipment and office, accounting and computing machinery
D35000
- Electrical machinery and apparatus n.e.c.
D36000
- Radio, Television and communication equipment and apparatus and of media, precision and optical instruments, watches and clocks
D37000
- Transport equipment
D38000
- Furniture, manufacturing n.e.c.; recyling
D39000
- Electricity, gas, steam and water supply
D41000
- Collection, purification and distribution of water
D42000
- Wholesale trade
D61000
- Retail trade
D62000
- Motor trade
D63000
- Hotels and restaurants
D64000
- Land transport and transport via pipelines
D71000
- Sea and coastal water transport
D72000
- Air transport
D73000
- Supporting and auxilliary transport activities
D74000
- Post and telecommunications
D75000
- Financial intermediation (i.e. Banks) except insurance and pension funding
D81000
- Insurance and pension funding
D82000
- Activities auxiliary to financial intermediation
D83000
- Real estate activities
D84000
- Renting of machinery and equipment, without operator and of personal and household goods
D85000
- Computer and related activities
D86000
- Research and development
D87000
- Total government sector
D9G000
- Total non-government sector
D9N000
- Gold
G23000
- Non-gold
G29999
- Production, processing and preservation of meat, fish, fruit, vegetables, oils and fats
G30100
- Dairy products
G30200
- Grain mill products, starches and starch products and prepared animal fat
G30300
- Other food products
G30400
- Beverages and tobacco products
G305C0
- Preparation and spinning of textile fibres; weaving of textiles
G31100
- Other textiles
G31200
- Knitted and crocheted fabrics and articles
G31300
- Wearing apparel, except fur; dressing and dyeing of fur, articles of fur
G314C0
- Tanning and dressing of leather, luggage, handbags, saddlery and harness
G31600
- Footwear
G31700
- Sawmilling and planing of wood
G32100
- Products of wood, cork, straw and plaiting materials
G32200
- Paper and paper products
G32300
- Publishing
G32400
- Printing and service activities related to printing; reproduction of recorded media
G325C0
- Coke oven products; petroleum refineries; processing of nuclear fuel
G331C0
- Basic chemicals
G33400
- Other chemical products;
G33500
- Other chemical products; man-made fibres
G335C0
- Rubber products
G33700
- Plastic products
G33800
- Glass and glass products
G34100
- Non-metallic mineral products n.e.c
G34200
- Basic iron and steel
G35100
- Basic precious and non-ferrous metals
G35200
- Casting of metals
G35300
- Structural metal products, tanks, reservoirs and steam generators
G35400
- Other fabricated metal products; metalwork service activities
G35500
- General purpose machinery
G35600
- Special purpose machinery
G35700
- Household appliances n.e.c
G35800
- Office, accounting and computing machinery
G35900
- Electric motors, generators and transformers
G36100
- Electricity distribution and control apparatus
G36200
- Insulated wire and cable
G36300
- Accumulators, primary cells and primary batteries
G36400
- Accumulators, primary cells and primary batteries and Electric lamps and lighting equipment
G364C0
- Electric lamps and lighting equipment
G36500
- Other electrical equipment n.e.c. and
G36600
- Electronic valves and tubes and other electronic components; television and radio transmitters and apparatus for line telephony and line telegraphy
G371C0
- Television and radio receivers, sound or video recording or reproducing apparatus and associated goods
G37300
- Medical appliances and instruments and appliances for measuring, checking, testing, navigating and for other purposes, except optical instruments
G37400
- Optical instruments and photographic equipment; watches and clocks
G375C0
- Motor vehicles
G38100
- Bodies for motor vehicles, trailers, and semi-trailers
G38200
- Parts and accessories for motor vehicles and their engines
G38300
- Building and repairing of ships and boats
G38400
- Railway and tramway locomotives and rolling stock; aircraft and spacecraft
G385C0
- Transport equipment n.e.c
G38700
- Furniture
G39100
- Manufacturing n.e.c
G39200
- Recycling n.e.c
G39500
- Site preparation
G50100
- Building of complete constructions or parts thereof, civil engineering
G50200
- Building installation
G50300
- Building completion
G50400
- Renting of construction/demolition equipment with operators
G50500
- Legal, accounting, bookkeeping and auditing activities
G88100
- Architectural, engineering and other technical activities
G88200
- Advertising
G88300
- Business activities n.e.c.
G88900
- National departments
G91101
- Provincial departments
G91102
- Extra Budgetary institutions
G91109
- Local government
G91300
- Other educational institutions
G92000
- TVET colleges
G92004
- Universities and technikons
G92005
- Health and social work
G93000
- Other community, social and personal services
G94000
- Activities of membership organisation
G95000
- Recerational, cultural and sporting activities
G96000
- Other service activities
G99000
- All Industries Total
M00000
- Mining and quarrying
M20000
- Manufacturing
M30000
- Electricity, gas and water supply
M40000
- Construction
M50000
- Wholesale, retail and motor trade; hotels and restaurants
M60000
- Transport, storage and communication
M70000
- Financial intermediation, insurance, real estate and business services
M80000
- Community, social and personal services
M90000
SERIES NAME
This dimension refers to the statistic measured by the QES, which is either employment (number of persons) or earnings (nominal, in ZAR).
- Employment
EM
- Earnings
ER
StatsSA Categories