Overview of the International

classification of occupations (ISCO) A case for Uganda

Ssennono vincent

Contents Sources of labour statistics Why urban labour force surveys Type of labour statistics Achievements Coding of occupations Limitations recommendatios

Sources of Labour Statistics Censuses and Sample Surveys

Conducted by UBOS Administrative Records

Ministry of Gender, labour and Social Development

Records from Other Organizations FUE, NOTU, UIA, UMA, NSSF, Dept of

Immigration, etc

Censuses 1991 and 2002 Populations Censuses

Collected little information on the status of the labour force

1990 , 2002 and 2010 Census of Business Establishments Collected information on employment

1978 Census of Civil Servants Collected detailed information but for Civil

Servants ONLY

Specific Sample Surveys Enumeration of Employees 1968

Covered employees only in the formal Sector HH Budget Survey 1988/89 National Manpower Survey of 1989

Covered Characteristics and structure of skilled manpower in the formal Sector

Integrated HH Surveys 1992/93 A few questions on activity Status were asked

Monitoring Surveys 1993/94, 1994/95, 1995/96

Specific Sample Surveys

HH Survey of 1997 with a Pilot Labour module

Demographic and Health Surveys 1988/89, 2000/2001, 2006

Uganda Household Survey 1999/2000, 2002/2003, 2005/06, 2009/10 Labour Market condition, 2006 Labour Market condition, 2007 Labour Market condition, 2011(planned)

Specific Sample Surveys

Employment and earning surveys, 2007 hours of work per job Average wage per job Overtime payment Number of vacancies Occupational injuries

National panel surveys- 2005/06 and 2009/2010

Annual Urban labour force surveys-2009

Why urban annual labour force survey

Monitor unemployment rate in urban areas

Limited resource Quality of data- self reporting and

reducing respondent fatigue

Administrative Records

Registration of the unemployed by MGLSD- poor coverage

Records of individual employers Data from employer or

employee organizations e.g. NOTU and FUE

Job Adverts in newspaper

Type Labour Statistics Status in Employment of persons Unemployment Rate Labour force participation rate Industry and Occupation Monthly earnings Time realated Underemployment Labour slack

Type of Labour Statistics

Working poor Labour absorption rate Share of women in wage

employment Size of subsistence vs non

subsistence Wage rates in selected occupation Size of public sector employment

Achievements Design a full fledged labour force

survey instruments questionnaire Sampling Manual of instruction

Carried out a an independent labour force survey in urban areas

Improved funding from government Targeted dissemination

Components of labour underutilization               

Labour slack       25.5% 21.4% 30.4%

● Unemployed       13.0% 6.6% 20.7%

● Time-related underemployed   10.2% 13.9% 5.8%

● Discouraged workers   1.3% 0.3% 2.6%

● Other not economically active persons, currently available for work   0.9% 0.5% 1.4%

               

Skills underutilization       10.5% 13.9% 6.6%

- 2nd, 3rd and 4th level education in occupations ISCO-88 major group 9   4.3% 6.1% 2.2%

- 5th level education in occupations ISCO-88 major groups 4-9   6.1% 7.7% 4.2%

- 6th level education in occupations ISCO-88 major groups 3-9   0.1% 0.1% 0.1%

               

Low earnings       4.0% 2.8% 5.5%

● Full-time employed (40-48 hrs per week) with low monthly earnings   0.3% 0.1% 0.5%

● Part-time employed (<40 hrs per week) with low hourly earnings   0.0% 0.0% 0.0%

● Over-employed (>48 hrs per week)   3.7% 2.7% 5.0%

- with low monthly earnings   3.7% 2.7% 5.0%

- above monthly earnings threshold, but with low hourly earnings   0.0% 0.0% 0.0%

Coding of occupation (ISCO-1988) surveys

Main and secondary occupations What was (names) main/secondary

occupation in the last 7 days. DESCRIBE THE

OCCUPATION AND IN AT LEAST 2 WORDS. enumerator coding up to 3 digits Localization some occupations

Importance of the occupations e.g Boda boda Professional jobs

Both description and code are entered for post editing

Coding of occupation- ctd

Employment and earning surveys Occupational hierarchy identified common occupations by

branch of economic activity e.g for health institution- surgeons, nurses, midwifery, dentists, lab technologists etc

similarly for manufacturing, education etc

Occupation coding in censuses

Office coding coding instruction coders Supervisor

limitation Localization of some occupations

Cost of office coding especially in census

Different languages unclear and tricky responses little technical support by ILO

Recommendations

Countries should come together to

harmonise concepts and definitions for

international comparability

Like OECD countries, Africa should form

a body to spear head labour issues in

the ICLS and to help other African

countries to improve.

Improve the Metadata of labour statistics

THE WAY TO GO – The Way Of The Ants:Simple Agents, Simple Tasks, Simple Rules

“Lower level rules develop high level sophistication”

THEIR THEORY? More Is Better

“Minimum threshold levels are red to make intelligent assessments of the global state. ”

THEIR CONTROLS? Indirect – Specialization and Coordination

Thank you