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

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.

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.

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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.

Brazil Population: Residents: South: Paraná: Colombo data was reported at 240,840.000 Person in 2018. This records an increase from the previous number of 237,402.000 Person for 2017. Brazil Population: Residents: South: Paraná: Colombo data is updated yearly, averaging 216,104.000 Person from Jun 1992 (Median) to 2018, with 24 observations. The data reached an all-time high of 247,268.000 Person in 2009 and a record low of 122,233.000 Person in 1992. Brazil Population: Residents: South: Paraná: Colombo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAA053: Population: by Municipality: South: Paraná.

Abstract

The survey provides comprehensive information on household income, individual income, household expenditure, per capita expenditure etc. which are required to study the living conditions and nutritional status of the different segments of population. Key objectives of the survey - To identify the income patterns in Urban, Rural and Estate Sectors & provinces - To identify the income patterns by income levels - Average consumption of food items and non food items - Expenditure patterns by sector and by differnt income levels

Geographic coverage

National

Analysis unit

• Household
• Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design A multi-stage stratified random sample design was used in this survey. Sectors of the district are the domains for stratification. Master sample frame prepared for Demographic Survey 1994 was used in this survey. There were about 4000 Primary Sampling Units (PSUs) in this frame. From thus frames, sample of 1061 PSU's were drawn for Income and Expenditure Survey 1995/96. From each sampled PSU, 20 numbers of housing units (final sampling units) were drawn to reach a sample of 21,220 housing units. Therefore the weighting factors calculated for Income and Expenditure Survey 1995/96 were based on the corresponding factors of the Demographic Survey 1994.

Sample Allocation The district and sector allocation of the number of housing units to be surveyed was done proportionate to the square root of the total number of housing units in the district and sector. However selected areas under the urban sector of the Colombo district and the Gampaha district were over sampled to obtain a better representative sample and to obtain weighting factors for computation of Consumer Price Indices.

(Refer Section 1.3 of the Final Report)

Mode of data collection

Face-to-face [f2f]

Research instrument

The data was collected by direct interviews based on a special schedule which had three sections:-
(1) Demographic characteristics (2) Household expenditure (Food and Non-food items) (3) Household income (Monetary and Non-monetary income)

The demographic characteristics and usual activities of the inmates belonging to the household are reported in the Demographic section of the schedule and close relatives temporarily living away are also listed in the section. Expenditure section has two sub sections to report food and non-food consumption data separately. Expenditure incurred on their own decisions by boarders and servants are recorded in the sub section under the expenditure section. The income has seven sub sections categorized according to the main sources of income.

Sampling error estimates

Refer Section 1.4 of the Final Report regarding Estimation Procedures

Brazil Population Census: South: Paraná: Colombo data was reported at 212,967.000 Person in 2010. This records a decrease from the previous number of 233,916.000 Person for 2007. Brazil Population Census: South: Paraná: Colombo data is updated yearly, averaging 198,148.000 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 233,916.000 Person in 2007 and a record low of 153,698.000 Person in 1996. Brazil Population Census: South: Paraná: Colombo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC057: Population Census: by Municipality: South: Paraná.

The following database contains the data obtained by a cross-sectional survey conducted among 395 Advanced Level students studying in four schools of the Colombo Educational Zone, Sri Lanka. It was the aim of this study to determine the prevalence and associations of Internet Gaming Disorder among a Sri Lankan student population. Participants filled a pretested, self-administered questionnaire exploring sociodemographic factors, academic characteristics, extra-curricular involvement, sleep factors and gaming habits/preferences. Internet Gaming Disorder (IGD) has been assessed using English and Sinhala versions of the Internet Gaming Disorder Scale (IGDS9-SF) developed by Pontes and Griffiths in 2015. Positive IGD status has been determined based on the endorsement of five or more items, with a score of 4/5 or 5/5 considered as an endorsement of a particular item. Motives for gaming have been assessed using the Motives for Online Gaming Questionnaire (MOGQ) and subscale scores (i.e., Social, Escape, Competition, Fantasy, Skill Development, Coping and Recreation) have been summed up using the scores of relevant items (Demetrovics et al., 2011). Sleep Quality has been assessed using the Single Item Sleep Quality Scale (SISQ), scored from 1-10 with higher scores indicating better sleep quality (Snyder et al., 2018). Psychosocial factors such as self-esteem, having no/few friends and not being satisfied with one's appearance has been graded on a 5-point Likert Scale with higher scores indicating higher levels of agreement. A similar scale is used to assess interindividual factors such as the parent-child and teacher-student relationship. Note that the distribution of IGDS9-SF scores is not normal in this sample, warranting the necessity of using non-parametric methods for analysis. Some of the categories in the variables have been amalgamated (shown as “Cat.”) to facilitate analysis in the original study.

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

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

Population Census: South: Paraná: Colombo在2010达212,967.000 人口，相较于2007的233,916.000 人口有所下降。Population Census: South: Paraná: Colombo数据按每年更新，1996至2010期间平均值为198,148.000 人口，共4份观测结果。该数据的历史最高值出现于2007，达233,916.000 人口，而历史最低值则出现于1996，为153,698.000 人口。CEIC提供的Population Census: South: Paraná: Colombo数据处于定期更新的状态，数据来源于Brazilian Institute of Geography and Statistics，数据归类于Brazil Premium Database的Socio and Demographic – Table BR.GAC057: Population Census: by Municipality: South: Paraná。

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].

Demographic characteristic of study population.

Population: Residents: South: Paraná: Colombo在2018达240,840.000 人口，相较于2017的237,402.000 人口有所增长。Population: Residents: South: Paraná: Colombo数据按每年更新，1992至2018期间平均值为216,104.000 人口，共24份观测结果。该数据的历史最高值出现于2009，达247,268.000 人口，而历史最低值则出现于1992，为122,233.000 人口。CEIC提供的Population: Residents: South: Paraná: Colombo数据处于定期更新的状态，数据来源于Brazilian Institute of Geography and Statistics，数据归类于Brazil Premium Database的Socio and Demographic – Table BR.GAA053: Population: by Municipality: South: Paraná。

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。

Socio-demographic and anthropometric characteristics of the participants.

Abstract

This is the "Census of Public and Corporation Sector 'Employment" conducted by the Department of Census and Statistics in 1980. The data sets out the position as at 1st July, 1980. For the purpose of this Census, State Sector Employees were classified into the broad categories: (a) Public Sector Employees, which includes all employees in Ministries, Departments and Institutions which come under direct Government administration and (b) Corporation Sector Employees which includes all employees in state owned Corporations and other statutory bodies.

The target population being all state sector employees, it was necessary to have a frame or a complete list of state sector establishments. Such a list of establishments, was prepared by up-dating the information given in Part I, Section (1) of the gazette extraordinary of 30th April, 1980.

The method of data collection was by postal enumeration. Questionnaires were dispatched to each listed establishment through the relevant Ministry for distribution to all its employees. The completed questionnaires were collected by the establishments and returned by post. Where this failed, the questionnaires were collected by personal visits by officers of this Department.

Due to practical difficulties, enumeration of unskilled labourers in the estates had to be left out. Public sector employees attached to diplomatic missions abroad were also not included . Questionnaires were also not received in respect of employees who were treated as having vacated post and had not been re-employed by the end of the year 1980.

Owing-to poor response from certain sections of the state service only 78% coverage could be achieved. It has been decided to publish the detailed tables in respect of this 78% as they will provide at least an approximate classification of employees in terms of sex, age, marital status, occupation, level of education, ethnic and religion affiliation etc.

Prior to 1968 information on state service employment was collected by the Department of Census and Statistics from the respective Ministries, Departments, Corporations etc. and published in the Statistical Abstract of Sri Lanka. The first Census of Public Service employees was held in 1968 and it was continued every fourth· year. Table below shows the growth of State Service employment in Sri Lanka from 1960.

GROWI'H OF STATE SERVICE EMPLOYMENT

Year Public Sector Corporation Sector 1960 257,890 .. 1964 298,334 .. 1968 303,674a 115,355 1972 323, 718b 145,810c 1980 368, 849d 228,531d

a 1968 - Statistics of personnel in Public Service 1968. General, Treasury, Colombo. b 1972- Statistics of personnel in the Public Service 1972. Ministry of Public Administration, Colombo. c - Employment figures for 1972 for the Corporation Sector are not available. Figures. shown are for 1973. d - Employment, Census 1980.

Note - Although a Census of' Public Service employees was taken in 1976 the results have not been published due to under coverage. .. - Not available.

Source: Statistical Abstract of Sri Lanka, Colombo.

Geographic coverage

National coverage.

Coverage rate: 78%

Analysis unit

Employees in the the public sector and the corporation sector.

Universe

All employees in the Central Government Ministries, Departments, Corporations, Authorities, Boards and Government Owned Business Undertakings.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was printed in all three languages Sinhala, Tamil and English.

It is an individual questionnaire and has to be perfected by all employees in the State Sector.

i. Identification Particulars As the employee is identified by his place of work the respondent is asked to write the name of Department/Corporation/Board/Institution and Ministry. First 4 items are in respect of the identifying information.

ii. The next part of the form checks with, the name, sex, marital status, race, religion and age. Except for the name and age which hereto be written, other information, the respondent is asked to circle the appropriate code number printed along with the description of the item.

Item7- This is about the designation of the employee. Here the designation with class and grade has to be written in detail. The info given in this column is used to identify one's occupation and therefore the individuals are instructed to give their designation in full without using any abbreviation.

Item8 - This checks with one's status of employment. There are six possibilities of which one has to be circled. From this information about permanent, temporary, re-employment and other category of employment is identified.

Item 9 - This checks with the date of first joining the State Sector.

Item 10 - Educational qualifications - Here the respondent is instructed to write his highest educational qualifications attained.

Item 11 - Professional qualifications - Other than the educational qualifications, employees are classified by their professional qualifications, which in many cases related to their occupation. Here the employees are requested to furnish their professional qualifications in detail without using abbreviations.

Item 12 - Salary - Monthly (gross) : The employees are instructed to give the gross salary drawn for the month of June 1980, inclusive of married allowances and other allowances. Annual (basic) - Present annual salary point according to the salary scale.

Item 13 - Distance to place of work, from where you travel to work - This refers· in kilo-meters the distance from the residence whether permanent, or temporary from where the employees travels to office.

Item 14 - Mode of travel to office - Here the employee is requested to circle the appropriate code relating to his mode of travel to work.

Clinical characteristics of the population.