Sri Lanka Population: Mid Year: Colombo data was reported at 2,439.000 Person th in 2018. This records an increase from the previous number of 2,419.000 Person th for 2017. Sri Lanka Population: Mid Year: Colombo data is updated yearly, averaging 2,334.500 Person th from Jun 1991 (Median) to 2018, with 28 observations. The data reached an all-time high of 2,606.000 Person th in 2011 and a record low of 1,970.000 Person th in 1991. Sri Lanka Population: Mid Year: Colombo data remains active status in CEIC and is reported by Department of Census and Statistics. The data is categorized under Global Database’s Sri Lanka – Table LK.G001: Population: Mid Year.

Historical dataset of population level and growth rate for the Colombo, Sri Lanka metro area from 1950 to 2025.

Sri Lanka Population: Mid Year: Male: Colombo data was reported at 1,197.000 Person th in 2018. This records an increase from the previous number of 1,187.000 Person th for 2017. Sri Lanka Population: Mid Year: Male: Colombo data is updated yearly, averaging 1,192.000 Person th from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 1,333.000 Person th in 2011 and a record low of 1,143.000 Person th in 2012. Sri Lanka Population: Mid Year: Male: Colombo data remains active status in CEIC and is reported by Department of Census and Statistics. The data is categorized under Global Database’s Sri Lanka – Table LK.G001: Population: Mid Year.

Sri Lanka Population: Mid Year: Female: Colombo data was reported at 1,242.000 Person th in 2018. This records an increase from the previous number of 1,232.000 Person th for 2017. Sri Lanka Population: Mid Year: Female: Colombo data is updated yearly, averaging 1,203.000 Person th from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 1,273.000 Person th in 2011 and a record low of 1,100.000 Person th in 2001. Sri Lanka Population: Mid Year: Female: Colombo data remains active status in CEIC and is reported by Department of Census and Statistics. The data is categorized under Global Database’s Sri Lanka – Table LK.G001: Population: Mid Year.

amales vs.females p

Abstract

The Demographic and Health Survey (DHS) is an important link in a chain of surveys carried out in Sri Lanka in the past decade or so. Having been designed as part of an international survey program and modelled on the lines of the well renowned World Fertility Survey (WFS) program, the DHS provides an exceptionally valuable source of data for the estimation of trends over time within Sri Lanka as well as for cross national comparison.

The survey focussed primarily on fertility, contraception and child mortality as did WFS but. also measured several indicators of child health, particularly immunization coverage and nutrition status. The inclusion of health sector information has been welcome and fruitful, for improve- ment of nutrition status is a subject to which the Government of Sri Lanka has accorded high priority.

The Sri Lanka Demographic and Health Survey has the following objectives: 1. To provide policymakers and administrators with current and accurate data on fertility, morbidity, family planning and selected indicators of health status which could be used for planning new strategies for the wellbeing of the population; etc. 2. To provide data which can be used to analyze trends over time. The SLDHS examines many of the same fertility, mortality, and health issues that were addressed in earlier surveys, most notably the SLWFS and the more recent SLCPS; and 3. To add to the international body of data which can be used for comparative studies.

Geographic coverage

National

Analysis unit

• Household
• Women age 15-49

Universe

In principle, the sample was designed to cover private households in the areas sampled. The population residing in institutions and institutional households was excluded. For the detailed individual interview, the eligibility criteria were: ever-married women aged 15 through 49 who slept in the household the previous night.

Kind of data

Sample survey data

Sampling procedure

SURVEY SAMPLE DESIGN

On the basis of socio-economic and ecological criteria, and the experience of the SLWFS, nine zones were created. It was felt that some of the six SLWFS zones were too heterogeneous and should be redrawn as shown in Figure i.i and described below:

Zone 1 - Colombo Metropolitan area consisting of SLWFS zone 1 and parts of zone 2. Zone 2 - Colombo feeder areas and Northern part of SLWFS zone 2. Zone 3 - South Western coastal low lands corresponding to Southern part of SLWFS zone 2. Zone 4 - Lower South Central hill country corresponding to Western and Southern part of SLWFS zone 6, excluding districts with a concentration of estates. Zone 5 - South Central hill country corresponding to part of SLWFS zone 5 with a concentration of estates. Zone 6 - Irrigated Dry Zone corresponding to SLWFS zone 3, with major or minor irrigation schemes. Zone 7 - Rain fed Dry Zone covering the rest of SLWFS zone 3. Zone 8 - Eastern Coastal Belt, corresponding to SLWFS zone 4 (not included in SLDNS). Zone 9 - Northern Province corresponding to SLWFS zone 5 (not included in SLDHS).

The changes SLDHS made to the SLWFS zones were designed: a) to separate the Colombo urban feeder areas from rural hinterlands; b) to separate rural areas with predominantly estate populations from other rural areas; and c) to distinguish between irrigated dry zone areas which are new settlements under development projects from those areas which rely primarily on rains for cultivation.

Although the survey originally planned to conduct interviews in all nine zones, Civil disturbances in zones 9 and 8 (the Northern and Eastern provinces) prevented interviews from being conducted there. These zones, which contain approximately 14 percent of the 1986 estimated population of Sri Lanka, have been excluded from the SLDHS.

With the exception of zone 5, the sample was allocated equally between zones with an estimated target 900 completed individual interviews per zone. Zone 5 was given a larger target sample size of 1,350 to permit over sampling of the estate plantation workers.

In principle, the sample was designed to cover private households in the areas sampled. The population residing in institutions and institutional households was excluded. For the detailed individual interview, the eligibility criteria were: ever-married women aged 15 through 49 who slept in the household the previous night.

For the selection of area units, the sample frame was based on block statistics from the 1981 Census of Population and Housing. However, these figures were updated where possible on the basis of the work done in connection with a 1985-86 labour force survey. This applied in particular to newly settled areas with the development of irrigation schemes in the dry zone. For the final selection of housing units within ultimate area units, a special operation was undertaken before the survey to update household lists within selected census blocks.

The zones created by the SLDHS, which were designed to capture relatively homogeneous subgroups of the population, served as the primary strata. Each zone was further stratified into (up to) three strata: urban, rural, and estate areas. Further implicit stratification was achieved by ordering the sampling areas according to administrative and geographical location. Similar systematic sampling procedures were followed at all stages up to and including the selection of housing units.

The sampling of housing units was undertaken in two or three stages depending upon the stratum. In densely populated zones i, 2, and 3, and in urban strata of all zones a three stage design was used:

At the first stage, a stratified sample of Gram Savaka or equivalent areas (waras or estates) with probability proportional to size (PPS) was selected. The number of primary sampling units (PSIs) selected was 54 in zones 5 and 36 in each of the other zones. Within a given zone, the number to be selected in a stratum was allocated proportionately to the strata populations.

1.Within each PSU, two census blocks were selected with PPS, systematically without replacement. 2.The final stage consisted of the selection of the housing units in selected blocks with inverse PPS so as to yield a self weighting sample within each stratum.

For the main survey, there was no further sampling as all eligible women in each selected housing unit were taken into the sample. Also, for the anthropometric measurements, all children 3 through 36 months of eligible women were taken.

In the non-urban strata in zones 3 through 7, the only difference in procedures was that generally only one block was selected per PSU. This procedure effectively reduced the number of stages to two: blocks as the first stage and housing units as the second stage.

Since zones were allocated generally uniform sample sizes, the overall sampling fractions varied in inverse proportion to the zone population.

Sampling deviation

It is important to note once again that the districts in the northern and eastern portions of the country were not covered by the SLDHS because of civil disturbances. Whenever comparisons are made between the SLDHS and the earlier SLWFS and SLCPS, the differences in areas covered by the surveys should be kept in mind.

Mode of data collection

Face-to-face

Research instrument

The Sri Lanka Demographic and Health Survey used two questionnaires each of which was pretested.

a) The first, called the Household Questionnaire, was used to list all usual household members and any visitors who slept in the household the preceding night. For each person listed, information on age, sex, and marital status and whether or not he/she slept in the household the previous night was recorded. From this list eligible respondents were selected for interview. An eligible respondent is defined as a woman currently married, divorced, separated, or widowed between the ages of 15 and 49 who slept in the household the previous night.

b) The second or Individual Questionnaire was administered to each eligible respondent. On the average, an individual interview took approximately 35 to 40 minutes. The Individual Questionnaire consisted of nine sections: 1. Respondents background 2. Birth history-dates of all live births and infant and child deaths 3. Contraception-knowledge, ever use, current use and a detailed history of inter birth use in the last 5 years 4. Child health -immunization status, episodes of diarrhea, breastfeeding, the use of supplementary foods, prenatal care, and assistance at delivery 5. Marriage and migration 6. Fertility preferences 7. Husband's background and respondent's work 8. Socio-economic indicators 9. Length and weight-measurements of all children 3 through 36 months.

More than in similar fertility and family planning surveys conducted in the past, the SLDHS devoted considerable time and attention to obtaining information on the health status of mothers and children. In addition to many health related questions, anthropometric length and weight measurements were taken on all children 3 months through 36 months.

Cleaning operations

Data were entered onto microcomputers starting just two weeks after the commencement of field work. The ISSA (Integrated System for Survey Analysis) software package of programs developed by IRD/Westinghouse was used for data entry, machine editing, and tabulation. An especially effective procedure for correcting errors and inconsistencies detected during office editing and data entry was to relay information about problems in a questionnaire to the interviewers while they were still in the field. In most cases the problem could be

We implemented population size estimation of female sex workers (FSW) and transgender women (TGW) in Sri Lanka in 2018 using several approaches (geographical mapping, service and unique object multiplier and a modified Delphi method during the stakeholder consensus meeting). Mapping was done in 49 randomly selected Divisional Secretariats, which provided a basis for extrapolation of size estimates to the national level. Two types of adjustments were applied on the mean (minimum-maximum) population estimate obtained during mapping: (1) an adjustment for mobility to reduce double counting of FSW and TGW frequenting multiple spots, obtained during mapping; (2) an adjustment for “a hidden population”, obtained from surveys among FSW and TGW. For the multiplier method, we used data from services of non-governmental organisations that FSW and TGW were in contact with, and surveys based on respondent-driven sampling. Surveys were carried out in the cities of Colombo (FSW, TGW), Kandy (FSW), Galle (FSW) and Jaffna (TGW). We estimated that there are 30,000 FSWs in Sri Lanka, with a plausible range of 20,000–35,000, which implies a prevalence of FSW of 0.56% (0.37–0.65%) among adult females. This study provided baseline estimates of 2,200 TGW in the country, with a plausible range of 2,000–3,500, which is 0.04% (0.04–0.07%) of adult male population. Our estimates of the proportional contribution of the FSW and TGW populations among the adult population in Sri Lanka are consistent with the The Joint United Nations Programme on HIV/AIDS (UNAIDS) recommended estimates for Asia and the Pacific. The results provide an important point for macro- and micro-level planning of HIV services, allocating programme resources and assessing programme coverage and quality.

人口：中年人口：女性：科伦坡在06-01-2018达1,242.000千人，相较于06-01-2017的1,232.000千人有所增长。人口：中年人口：女性：科伦坡数据按年更新，06-01-2001至06-01-2018期间平均值为1,203.000千人，共18份观测结果。该数据的历史最高值出现于06-01-2011，达1,273.000千人，而历史最低值则出现于06-01-2001，为1,100.000千人。CEIC提供的人口：中年人口：女性：科伦坡数据处于定期更新的状态，数据来源于Department of Census and Statistics，数据归类于Global Database的斯里兰卡 – 表 LK.G001：人口：中年人口。

Demographic characteristic of study population.

Abstract

The Sri Lanka Contraceptive Prevalence Survey. (CPS) is a national sample survey designed to obtain information on contraceptive use and fertility. This survey was conducted in 1982 by the Department of Census and Statistics, Ministry of Plan Implementation, in collaboration with the Westinghouse Health Systems of Columbia, Maryland, U.S.A.

The Department of Census and Statisties through the CPS has obtained and tabulated data on levels of fertility, knowledge, use and availability of contraceptives for the entire island as well as for urban-rural areas. These data have been obtained by interviewing a nationally representative probability sample of about 4,500 ever-married women in the age group 15-49. The interviews were conducted by rigourously trained female interviewers of the Department of Census and Statistics under careful supervision.

The field work lasted a period of approximately two months from February to March 1982. Findings from the survey on a preliminary analysis were presented and discussed at a seminar held in Colombo on 4th August 1982.

Geographic coverage

1. Western Province Colombo Gampaha Kalutara

2. Central Province Kandy Matale Nuwara Eliya

3. Southern Province Galle Matara Hambantota

4. Northern Province Jaffna Mannar Vavuniya Mullaitivu

5. Eastern Province Batticaloa Trincornalee Amparai

6. North Western Province Kurunegala Puttalam

7. North Central Province Anuradhapura Polonnaruwa

8. Uva Province Badulla Moneragala

9. Sabaragamuwa Province Ratnapura Kegalle

Analysis unit

all ever-married women 15-49 years old living in housing units one of which is defined as a place of residence separate from the other places of residence and with an independent access. (One or more households could occupy one housing units). The population living in places other than housing units such as institutions were excluded.

Universe

All ever-married women 15-49 years old living in housing units.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was a nationally representative probability sample drawn from a two stage design. In the first stage, a sample of Census Blocks was drawn from the predetermined strata. In the second stage a sample of housing units was drawn from each selected Census Block. All ever-married women aged 15-49 who lived in the selected housing units or who spent the previous night in the unit were interviewed in detail.

First Stage Selection

The country was stratified into 2 strata as urban and rural areas. It was decided to select a sample of about 4,500 respondents spread out in 540 Census Blocks. A Census Block is an area assigned to an enumerator at the 1981 Census of Population and Housing for the purpose of enumeration. The Survey estimates were required at the national level and hence it was decided to allocate the sample proportional to the stratum population which was defind as the female population aged 15-49. This made it necessary to select 90 Census Blocks from the Urban Stratum and 450 from the rural stratum. The required number of blocks within each stratum was then selected from among the 24 administrative districts, the number selected from each district being proportional to the stratum population within the district.

Second Stage Selection The Second' Stage consisted of selecting households from lists of housing units. These lists were obtained from the Pre-listing Forms prepared for the 1981 Census and were updated by the procedure outlined in the next section. The procedure for selection of households was as follows.

In the urban Census Blocks, a systematic sample of 15 housing units was selected from a list of such units. That is, starting from a randomly selected unit every unit at the end of an interval equal to one fifteenth the number of units in the block was selected in to the sample. In the rural Census Blocks, clusters of approximately ten housing units were formed and one cluster was selected at random from each block. All households in every housing unit whenever there was more than one in a unit were selected into the Sample.

Listing of Housing Units

The target population of the survey was all ever-married women 15-49 years old living in housing units. A housing unit was defined as a place of residence and with an independent access. One or more households could occupy one housing unit.

The population living in places other than housing units such as institutions were excluded. The effect of this exclusion the survey estimates was considered to be small as the population living in non-housing units at he 1981 census was a very small proportion of approximately 2 per cent. The sample frame for the survey was the prelisting Forms of the 1981 Census. A prelisting form was prepared for each Census Block and it contained a list of all housing units and non-housing units in the Census Block. The Pre-listing Forms of the selected Census Blocks were updated by the range Statistical Investigators of the Department. These officers were also the ones who prepared and later updated the lists initially for the Census and were quite familiar with the updating procedures. However, they were given specific instructions on updating by asking to delete the demolished and vacant units and to insert in the proper place any new units that had come up since the Census.

While the Survey was going on, it was found that some selected housing units were vacant, some were non-existent, and some could not be located by their addresses. However, the proportion of such units was quite small, only 2.7% and is unlikely to have caused a bias in the selection procedure.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire was an adaptation of the core questionnaire developed by the Westinghouse Health System to collect information relating to family planning management. The questionnaire has two main sections:

1. The Household schedule
2. Individual questionnaire

Household Schedule The household schedule was used for listing all females present regardless of their eligibility and for recording their background information. Names of females who usually resided in the household and of female visitors who spent the previous night in the household were recorded in this schedule. For each of these women, age, date of birth, and marital status were entered and based on these information the interviewers decided and recorded the eligibility of each woman for the individual interview. A woman was eligible for the individual interview if she met all of the following three criteria: 1. 15 through 49 years old. 2. Had been or was currently married. 3. Was in the household on the night prior to the interview.

Individual Questionnaire The individual questionnaire consisted of the following five sections:- Section I - Respondent's Background. Section II - Fertility Section III - Fertility Regulation Section IV - Contraceptive Availability Section V - Husband's Status

In adapting the core questionnaire to meet the country's requirements, some additional questions were included. Timing of future births and breast-feeding were added to Section II, motivation to adopt family planning, approval of family planning, and induced abortions were added to Section III, and problems related to family planning services was added to Section IV.

The questionnaire was translated into the two national1anguages, Sinhala and Tamil. The translations were independently re-translated into English and compared with the original to ensure exactness of the translation. The questionnaires and all other survey documents were· printed by the Printing Division of the Department.

Cleaning operations

EDITING, CODING, TABULATION AND ANALYSIS Seventeen of the interviewers and two supervisors were retained for manual editing and coding. These officers were given detailed instructions in editing and coding procedures by two senior officers who were also responsible for the preparation of edit specifications and the coding instructions. A coder was, on average, expected to edit, code and check 20 schedules per day. All responses to questions were given specific numeric, machine readable values. Since all but two questions used pre-coded responses, the work of the coders was fairly simple and it progressed smoothly. Computer processing of the data was carried out by the Data Processing Division of the Department of Census and Statistics.. Data were key punched directly from the schedules. Error printouts were returned to the editors and coders for correction. At the end of each correction, the files were updated and the edit program was re-run until a clean data file was obtained. The specified tabulations were prepared well within the allotted time of 2 ½ months from June to early August. Each tabulation was checked for likely errors and internal consistency and it was possible to make the necessary corrections without much delay. These tabulations were made available to any interested institution in order to enable the data from the survey to be used as early as possible. A preliminary analysis of the data was carried out by a team of 6 staff' members of the Department of Census and Statistics. In this task they were assisted by the Westinghouse representative whose advice and comments were particularly valuable in the presentation of results. These findings were presented

In 2016, there were five thousand millionaires in Sri Lanka. This figure was estimated to reach ** thousand by 2026. In comparison, the country had ** ultra high net worth individuals (UHNWI) and ** centa-millionaires in that year. In 2018, there were about **** million millionaires, also called high net worth individuals (HNWI), in the Asia Pacific region.

Richest people in Sri Lanka

One of Sri Lankan’s richest people is Dhammika Pereras, a businessman who is owning about ** companies in various sectors and whose estimated fortune amounts to *** million U.S. dollars. He is followed by Sohli and Rusi captain, a family that is the largest shareholder of John Keells Holdings and Chemical Industries Colombo with a fortune of around *** million U.S. dollars.

Sri Lanka

The population in Sri Lanka amounted to approximately **** million in 2017. Sri Lanka’s economy has been developing in the past years, with a GDP growing at **** percent in 2017. Sri Lanka’s largest sector in terms of GDP contribution is the services sector. About ***** percent of the employees were active in the services sector in 2018. The government was able to reduce the poverty level in the past years. Nevertheless, the country’s GDP per capita is still only relatively moderate compared to other Asia Pacific countries.

Abstract

The Labour Force and Socio Economic Survey - 1985/86 provides comprehensive information on labour force charachteristics, Income and Expenditure and additional background information on demograhic characteristics of the population.

The information on labour force are generally used to :

(1) to study the situation and trends in employment, unemployment and under employment. (2) to quantify the magnitude and distribution of employment oppertunities at any point of time or over a given period of time. (3) to monitor the performance of employnlent programmes and of the economy in general. (4) to evaluate the impact of such programmmes on unemployment and under employment, income and the satisfaction of the basic needs.

The information on income and expenditure usually serve the one or more of the following objectives.

(a) To obtain weights and other useful data for planning, price collection or the construction or revision of consumer price indexes. (b) To supply basic data needed for policy making in connection with social and economic planning and to facilitate determination of needs or the establishment of targets. (c) To provide data for assessing the impact on household living conditions of existing or proposed economic or economical measures, particularly changes in the structure of household expenditures and in household consumption. (d) To provide data for estimating the redistributive effects of direct and indirect taxation and of a wide range of social benefits, on the situations of the various types of family. (e) To analyse the variations in levels of living over a periods of years and the disparities among households in socio-economic groups, geographic areas urban, rural and estates sector etc; (f) To supplement the data availabilty for use in compiling official estimates of household accounts in the system of national accounts and balances. (g) To furnish data on the distribution of household income and expenditure.

Geographic coverage

The survey will cover all the district in Sri Lanka.

Analysis unit

Individuals from the population aged 10 years or more

Universe

Working age population (10 years and above) living in the non-institutional households in Sri Lanka

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design

Sample design is strtified two stage design. The first step was to define the sampling domains, for each of which an estimate desired. It was decided that the final estimates are required at district level and at the same time by sectors at all island level, In addition to this, seperat estimates are required for large large cities such as Colombo M.C., Dehiwala -Mt.Lavania M.C. and Kotte U.C. A total sample of 25,000 housing units were decided, to have 1000 housing units for each district on the average.

Stratification Bach domain for which separate estimates are required were made a separate stratum. As such each sector within each district is a seperate stratum, in addition to the three large urban cities.

Stages .,A two stage design is adopted, first stage units (PSU) being the Cens blocks prepared for 1981 Census of population and the second stage units (SSU) being the housing units. It was decided to select 10 housing units from each. selected Census Block. Thus a first stage sample of 2500 census bolcks have to be selected from entire island.

Sampling deviation

Non completion schedules in Vavuniya, Trincomalee and Kilinochchi district were high due to the disturbances.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey schedule which was canvassed to households comprised of four sections. The first page of the schedule collected the identification information of the household giving the District, Electorate, Assistant Government Agent's division, Grama Sevaka divison and if situated in an -urban sector, the name of the M.C., U.C. or T.C. arid if in the Rural or Estate sector name of the village or estate respectively. The census block number to which the household belongs and the number of households within that housing.unit were also recorded.

In the control data section, information was sought on the date of visit to heusehold, result of the visit and the time taken to fill the schedule on each visit. The total number of visits made by an interviewer to a household was expected to be not more than six. visits. A code indicates the result of the visit in the following manner_: completed - 1, partly completed - 2, no competent respondent at home - 3, refused - 4, household is temporarily closed - 5 house is demolished - 6 or any other reason under 'other' - 7. These data not only control the flow of the schedu les, as a schedu Ie had to be completed at least up to the control data for each of the selected households, but also enable to compute the different non-response rates such as refusal rate, demolished cases etc.

The four major sections of the schedule are the Section 1, which deals with demographic characteristics of the household members, Section 2, which deals with the labour force which consists of persons 10 years and over, and supplementary questions in respect of children aged 5-14 years, youths aged 15-29 years and women in the age group 15-49, Section 3 deals with all sources of income received by the household members and Section 4 deals with the household expenditure incurred during different reference periods.

Cleaning operations

All completed schedules were subject to a comprehensive manual editing operation by a well trained group of officers at the Sample Survey Division. At this stage, schedules were checked for the skip pattern, impossible entries, unreasonably large values and also for internal consistency. The relevant field officers were contacted to get the necessary adjustment!; done, if it seemed necessary. Coding of the responses, to the questions which were not in the precoded form, was also done simultaneously with the editing operation. Most of the edits performed manually were incorporated in the computer edits and the data was 'thoroughly, cleaned before the working master files were created. The computer edit consisted of three parts.. , (a) structural edit (b) range edit (c) edits for internal consistency, between and within sections

Response rate

The response rate at all island level was 96.4%.

Sampling error estimates

Estimation Procedure of Sampling Error is given the Preliminary Report.

The Preliminary Report is attached in the external resources section.

Abstract

The employment/unemployment data are required at very short intervals to monitor the programs made in the employment generating policies of the government. To satisfy this need, Sri Lanka Labour Force Survey was designed as a quarterly basis survey to measure the levels and trends of employment, unemployment and labour force in Sri Lanka. Thus the survey is repeated four times each year since the first quarter of 1990.

Key objectives of the survey - To study the economically active / inactive population. - To analyze employment by major industry group and employment status. - To determine unemployment rates by level of education and by age group - To study the informal sector employment. - To determine the underemployment rates by sector and by major industries

Geographic coverage

National coverage. ( Except Northern & Eastern Province )

Inmates of institutions, military camps, and lodgings have not been surveyed. Households with more than 5 lodgers and boarders were also excluded from the survey.

Analysis unit

Individuals from the population aged 10 years or more

Universe

Working age population (10 years and above) living in the non-institutional households in Sri Lanka

Kind of data

Sample survey data [ssd]

Sampling procedure

A stratified two stage probability sample design is, used with census blocks as primary sampling units (PSU's) and housing units as secondary and final sampling units (SSU's).

National sample of approximately 20,000 housing units (excluding Northern and Eastern Provinces) were selected to provide reasonably accurate results at district level as well as national level.

Allocation of Sample Blocks and Housing Units by District

District No of Blocks No of Housing Units

Greater Colombo 176 1760
Colombo 82 820 Gampaha 120 1200
Kalutara 62 620
Kandy 141 1410
MataIe 51 510
Nuwara Eliya 76 760
Galle 115 1150
Matara 71 710
Hambantota 52 520
KurunegaJa 144 1440
Puttlam 120 1200
Anuradhapura 172 1720
Polonnaruwa 92 920
Badulla 199 1990
Monaragala 53 530
Ratnapura 136 1360
Kegalle 120 1200

Sampling deviation

The survey covered all parts of the Island excluding the Northern and the Eastern provinces

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire covered questions under four main headings such as

Identification Information Control data Personal Information Labour force Information Questions common to all employed persons

Current survey concepts and methods are very similar to those introduced at the beginning of the survey in 1990. However, some changes have been made over the years to improve the accuracy and usefulness of the data. [Questionnaire is attached in the External Resources section].