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: 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.

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

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

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.

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.

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 major objective of this survey was to provide up-to-date and accurate information on fertility, contraception, child mortality, child nutrition and health status of children.

This sample survey is further intended to serve as a source of demographic data for comparison with earlier surveys such as Sri Lanka Demographic and Health Survey 1987 (DHS87) and Sri Lanka Contraceptive Prevalence Survey 1982 (CPS82). Such comparisons help to understand the demographic changes over a period of time.

Two types of questionnaires were used in the survey. ie (1) Household and (2) Individual.

Source : Report on Sri Lanka Demographic and Health Survey 1993 published in 1995

Geographic coverage

The country has been stratified into nine zones on the basis of socio economic and ecological criteria for DHS87. The same zones were used without major changes. Although there are nine zones the survey was confined to seven excluding Northern and Eastern provinces; the few areas covered in Amparai district in the Eastern Province during DHS87 had to be excluded due to security reasons of the country.

Analysis unit

(1) Household (2) Eligible women (3) Children

Universe

The survey interviews were designed to obtain responses from all usual residents and any visitors who slept in the household the night before the interview. An eligible respondent was defined as an ever married woman aged 15 - 49 years who slept in the household the night before the interview.

Source : Report on Sri Lanka Demographic and Health Survey 1993 published in 1995

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size - 9230 households 7078 eligible women in 9007 housing units.

Selection process : The sample is a multi-stage stratified probability sample representative of the entire country excluding Northern and Eastern Provinces. The country has been stratified into nine zones on the basis of socio-economic and ecological criteria for DHS87. The same zones were used without major changes. Although there are nine zones the survey was confined to seven, excluding Northern and Eastern Provinces. The seven zones are:

Zone 1 - Colombo Metro consisting some urban areas in Colombo and Gampaha District Zone 2 - Colombo feeder areas Zone 3 - South Western coastal low lands Zone 4 - Lower South Central hill country excluding Districts with a concentration of estates Zone 5 - South Central hill country with a concentration of estates Zone 6 - Irrigated dry zone with major or minor irrigation schemes Zone 7 - Rain-fed Dry zone

Each zone was further stratified into three strata - urban, rural and estate sectors. The number of stages of the design and the Primary Sampling Units (PSU) vary according to the sector.

In urban areas PSU is the ward and generally two census blocks have been selected per ward as the second stage unit. The selections were carried out with probability proportional to size(PPS). The number of housing units was taken as the measure of size.

The PSU's were mostly selected from a specially organized frame consisting of wards and Grama Niladhari divisions organized by zone, sector and within sector geographically. The organization provided a better basis for stratification as it is arranged on a geographical basis.

The census blocks were selected from the only frame available from 1981 Census of Population and Housing. The ever married women aged 15-49 found in the selected housing units were interviewed.

In rural areas, Grama Niladhari (GN) division was taken as PSU and generally a single village has been selected per sample GN division with PPS. As such in rural areas villages form effective PSU's. However special steps were taken to merge and divide the villages to deal with areas which are too small or too large.

Unlike the GN divisions and wards, the selection in the estate sector has to take into account the fact that many estates are very small in size to form proper units for first stage of selection. To avoid the need to group estates in the whole frame special procedure was applied to select estates depending on the relative size of the estate compared to the nearby estates.

Sampling deviation

The target sample size was 6500 ever married women in the age group 15-49. This includes an over-sampling of around 500 women in five less developed areas in zones 6 and 7. The latter addition to the sample is needed to provide Policy relevant information and permit comparative analysis of these areas. In order to get that target sample, a total of 9007 housing units were selected for the survey.

Mode of data collection

Face-to-face [f2f]

Research instrument

Household Questionnaire - listed all usual residents any visitors who slept in the household the night before the interview and some basic information was collected on the characteristics of each person listed such as age, sex, marital status, relationship to head of household. The household questionnaire was used to identify women who were eligible for the individual questionnaire.

Individual questionnaire - Administered to each eligible woman who was defined as one who is an ever married female aged between 15 - 49 who slept in the household the night before the interview. This questionnaire had eight sections such as Respondent's background, Reproduction, Contraception, Health of children, Marriage, Fertility, Husband's background, length and weight of infants.

Source : Report on Sri Lanka Demographic and Health Survey 1993 published in 1995

Cleaning operations

Manual editing covered basic investigations such as checking of identification details, completeness of the questionnaire, coding, age and birth history, checking of certain internal consistencies, checking the information recorded in filter questions and coding of few items.

Response rate

Sample size - 9230 households 7078 eligible women in 9007 housing units. Completed - 8918 households 6983 eligible women

Household response rate - 98.9% Eligible women response rate - 98.7% Overall response rate - 97.6%

Household interviews

Completed 96.6% other(vacant, incompetent responder, refused etc) 3.4% Un-weighted number 9230

Eligible women interviews

Completed 98.7% Other(not in, refused, partly complete etc) 1.3% Un-weighted number 7078

Sampling error estimates

The sample of women had been selected as a simple sample, it would have been possible to use straightforward formulas for calculating sampling errors. However the sample design for this survey depended on stratification, stages and clusters. The computer package CLUSTERS developed by the International Statistical Institute for the World Fertility Survey was used to assist in computing the sampling errors with the proper statistical methodology.

In general, the sampling errors are small, which implies that the results are reliable.

Data appraisal

Pl refer to the Source : Report on Sri Lanka Demographic and Health Survey 1993 published in 1995

Abstract

Although the Census of Population was a regular decennial function since 1871, the Census of Agriculture had not been conducted in such a frequency. A census of Production, virtually Agricultural production was taken in 1921 and was followed by a partial censuses in 1924 and 1929. At these censuses. particulars of crop areas, livestock numbers, and production were recorded at village level.

In more recent times the Census of Agriculture had been conducted in 1946, 52, 62 and 73. At the '46 census, a plot-wise enumeration was undertaken of all blocks of land throughout the country, on which there existed at the time or had previously existed any kind of cultivation. This was the first comprehensive census of agriculture in Sri Lanka in recent times.

A deviation from this pattern of parcel-wise enumeration was first attempted at the 1952 census, but difficulties in completely enumerating the villages selected in the sample restricted the use of the census data on small holdings. The 1962 census, enumerated all holdings not less than 50 acres on a complete basis and a sample of 10 percent in the case of holdings less than 50 acres. In 1973 the larger holdings and all estates were completely enumerated for detailed information on the various characteristics and operations while a sample of small holdings were scientifically selected and enumerated.

Geographic coverage

National Coverage Urban, Rural and Estate

Analysis unit

The basic unit of enumeration was in this census was the operational holding (as distinct from the ownership holding) which was defined as all land and/or livestock used wholly or partly for agriculture production irrespective of title size legal form or location and is operated under one operational status.

Universe

The Census of Agriculture covered the entire island excluding the MC's of Colombo and Dehiwela-Mt. Lavinia which are predominantly residential and commercial areas where agricultural activity is insignificant.

The listing of holdings (other than estates) were carried out separately on a complete enumeration basis. Holdings were listed by house to house visit using the Census of Population frame. A list of estates were also prepared at the time of the population census which was updated to reflect the position in 1982.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Census of Agriculture 82 was carried out in two phases: a. The Peasant or Small Holding Sector b. The Estate or the Large Holding Sector

An Agriculture holding having at least one parcel of 20 acres in extent or more and under the same unit of management was considered as an estate. Other holdings were small holdings.

The census in the small holding sector was carried out in two stages. At the 1st stage the enumerator visited each and every census unit namely housing unit, living quarters other than housing unit and non-housing units in the country and screened out the Agriculture operators thro' a schedule known as Agriculture Census 1 (AC-1). After identifying the agricultural operators, the enumerators collected the following information in respect of their operational holdings through the schedule Agricultural Census - 2 (AC-2).

a. Characteristics of the operators - age, sex, educational status b. Type of ownership of holding c. Operational Status of operator d. Area of operational holding e. Area under principal crops. f. Irrigated and source of irrigation g. Agriculture machinery owned and used h. Numbers of livestock kept.

Along with the first stage census operation, the enumerators were instructed to summarize some important info obtained from AC-2 schedule on a summary sheet AC-4 in order to serve immediate needs of data users.

At the second stage a sample of 10% of the holdings was selected and the following info was collected thro' AC-3.

a. Population of operator's household b. Sources of income of operator's household c. Main occupation of the operator d. Type of holding e. Use of fertilizer and pesticides f. Land utilization and tenure pattern

The estate sector was covered thro' a mailed questionnaire AC-5. A complete list of estates has been prepared by the field staff and to all these estates, census questionnaires were posted along with brief instructions. The estate managers were requested to fill the questionnaire and post them back to the respective District commissioners of Census. The non-respondents were visited by the District Census Staff and finally the response rate was as high as 99%. Following items were covered through the estate schedule:

a. Location of estate b. Characteristics of the operator c. Total area of the estate d. Area under principal crop e. Tenure and land utilization f. Crop area and livestock numbers g. Use of fertilizer and pesticides h. Irrigation facilities i. Population and employment j. Agricultural employment k. Agricultural machinery

Cleaning operations

Data editing took place at a number of stages throughout the processing, including:

a) Manual editing and coding b) During data entry (Range edits) c) Computer editing - Structural and consistency d) Secondary editing e) Imputations

Detailed documentation of the editing of data can be found in the External resources Section.

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.

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。

Demographic characteristic of study population.

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

Abstract

The employment/unemployment data are required at very short intervals to monitor the program 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. [Excluding the Northern and the Eastern Provinces] This survey covered persons living in housing units only and, it excludes the institutional population.

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

2.1 Sampling plan and the sampling frame A two stage stratified sampling procedure was adopted to select a sample of 22,500 housing units to be enumerated in the survey. The master sampling frame prepared for 2001 Census of Population and Housing was used as the sampling frame for the selection of sample for the labour force survey 2010.This main frame was updated after the Tsunami incident in 2007 using quick count method. 2.2 Sample size The quarterly survey was conducted since 1990 using a sample of 2,000 housing units per quarter in areas other than North and East, and the sample size was increased to 4,000 housing units per quarter in 1996 and continued thereafter. However, in 1992 and 1997, an annual sample of 20,000 housing units was selected to give reliable estimates of district level. In 2004 again 20,000 housing units were selected for the survey. However, in order to provide district level estimates precisely, it was decided to use 20,000 - 25,000 housing units as the annual sample from 2006. As such, in 2010, the annual sample of 22,500 housing units were selected. 2.3 Sample Allocation In 2010, 2,250 Primary Sampling Units (PSU's) are allocated to each district and each sector by using the Neymann Allocation method which considers the variance of unemployment rate as usually. The allocated sample for each district then equally distributed among the 12 months. Table 1 gives the sample distributions by district for year 2010 Table 1: Sample allocation by district - 2010 District Housing District Housing Units Units Total 22,500 Mullaitivu 390 Colombo 2,150 Kilinochchi 360 Gampaha 1,920 Batticaloa 560 Kalutara 1,210 Ampara 900 Kandy 1,400 Trincomalee 390 Matale 610 Kurunegala 1,680 Nuwara Eliya 600 Puttalam 840 Galle 1,200 Anuradhapura 960 Matara 970 Polonnaruwa 500 Hambantota 840 Badulla 860 Jaffna 720 Moneragala 550 Mannar 390 Ratnapura 1,160 Vavuniya 390 Kegalle 950 2.4 Selection of Primary Sampling Units (PSU) Primary sampling units are the census blocks prepared for the Census of Population and Housing - 2001. The sample frame, which was updated after Tsunami has been used for the selection of primary sampling units. 2.5 Selection of Secondary Sampling Units (SSU) Secondary Sampling Units are the housing units in the selected 2,250 primary sampling units (census blocks). From each primary sampling unit 10 housing units (SSU) are selected for the survey using random sampling method.

Sampling deviation

In 2009, the field work of the survey for the year 2011 was done in all twelve months in 2011.Even though it was planned to conduct the labour force survey in Northern and Eastern provinces, the survey could not be conducted properly in Northern province due to the prevailing conditions. In year 2011 the survey was carried out in Eastern province successfully as in 2009.Therefore, this report is based on an annual sample of 20,250 housing units, excluding only Northern province provoding national, provincial and district level estimates with a stipulated standard errors of labour force characteristics as reported in the relevant reference periods of each 12 months of the year 2011. This survey covers persons living in housing units only and, it excludes the institutional population.

Mode of data collection

Face-to-face [f2f]

Research instrument

Survey Schedule 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. Beginning in January 2006, some significant improvements were made to the labour force survey schedule in order to fulfill the requirements of it's users and also to provide additional information for the planning purposes. This was done after carefully reviewing of the LFS schedule with the technical assistance provided by the Economic and Social Commission for Asia and the Pacific (ESCAP) Adviser. The revision was made focusing on literacy, household economic activities, informal sector employment and underemployment etc. This revised version of the questionnaire has been using since first quarter, 2006.

Sampling error estimates

The estimation procedure is given in the section 2.6 in the Annual Report. The Annual Report is attched in the External Resources Section.

Data appraisal

The adjustments for non-response is given in the section 2.7 in the Annual Report. The Annual Report is attched in the External Resources Section.

BackgroundProper Healthcare Waste (HW) management is directly influenced by the knowledge and attitudes of Healthcare Professionals (HCP). However, studies that characterize the knowledge and practices of HCP on HW management are limited in Sri Lanka. This study was conducted to characterize the knowledge, perceptions and practices of HCP on the management of HW and to determine the risk factors influencing HW related occupational health hazards in the Colombo District of Sri Lanka.MethodsA total of 407 HCP were recruited as the study population from selected hospitals in the Colombo District. Information on socio-demographic factors, knowledge, attitudes and practices on HW management were gathered using an interviewer-administrated questionnaire. The Binary Logistic Regression (BLR) was used to determine the socio-economic risk factors associated with the occurrence of HW related health issues among the respondents.ResultsThe majority of respondents were characterized with a high knowledge level (76.9%) and positive attitudes (53.8%) on HW management. Incineration (82.6%) was recognized as the most widely used HW treatment method. Personal Protective Equipment (PPE) was used at a satisfactory level (85.5%), while liquid waste treatment was limited (57.5%). The occupational designation, level of training received in HW management, professional experience, vaccination status for tetanus, degree of knowledge and attitudes on HW management were recognized as significant risk factors (p 

UNOSAT code: FL20240603LKA, GDACS ID: 1102660 This map illustrates satellite-detected water extent in Gampaha, Colombo and Kalutara Districts, Western Province, Sri Lanka as observed from a Sentinel-1 image acquired on 04 June 2024 at 00:25 UTC. Within the analysed areas of about 8,000 km², a total of about 124 km² of lands appear to be affected with flood waters. Based on WorldPop population data and the flood extent about 100,000 people are potentially exposed.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

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 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

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。