Sri Lanka Population: Mid Year: Kandy data was reported at 1,468.000 Person th in 2018. This records an increase from the previous number of 1,452.000 Person th for 2017. Sri Lanka Population: Mid Year: Kandy data is updated yearly, averaging 1,374.500 Person th from Jun 1991 (Median) to 2018, with 28 observations. The data reached an all-time high of 1,468.000 Person th in 2018 and a record low of 1,249.000 Person th in 1992. Sri Lanka Population: Mid Year: Kandy 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: Kandy data was reported at 760.000 Person th in 2017. This records an increase from the previous number of 750.000 Person th for 2016. Sri Lanka Population: Mid Year: Female: Kandy data is updated yearly, averaging 722.000 Person th from Jun 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 760.000 Person th in 2017 and a record low of 655.000 Person th in 2001. Sri Lanka Population: Mid Year: Female: Kandy 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: Kandy data was reported at 700.000 Person th in 2018. This records an increase from the previous number of 692.000 Person th for 2017. Sri Lanka Population: Mid Year: Male: Kandy data is updated yearly, averaging 672.000 Person th from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 710.000 Person th in 2011 and a record low of 624.000 Person th in 2002. Sri Lanka Population: Mid Year: Male: Kandy 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.

Abstract

Main objectives of the Household Income and Expenditure Survey are: i. To measure levels and observe the changes of living conditions of individuals and households ii. To estimate household income and expenditure iii. To compute several important poverty indicators iv. To provide information to calculate price indices v. To analyze the impact of social protection transfers vi. To provide information on different living standard measurements.

Geographic coverage

National coverage

Analysis unit

• Households
• Individuals
• Consumption good and services

Kind of data

Sample survey data [ssd]

Frequency of data collection

Every 3 years

Sampling procedure

Sample design of the survey is two stage stratified and the Urban, Rural and the Estate sectors in every district are the selection domains. Thus the district is the main domain used for the stratification. The sampling frame is the list of housing units prepared for the Census of Population and Housing (CPH) 2011.

Primary sampling units (PSUs) are the census blocks selected at the first stage selection and the sampling frame, which is the collection of all the census blocks prepared in CPH 2011is used for the selection.

Secondary Sampling Units (SSUs) or Final sampling units (FSUs) are the housing units selected at the second stage from the 2,500 PSUs selected at the first stage. From each PSU, 10 SSUs (housing units) are systematically selected giving each housing unit in the PSU an equal chance to be selected for the survey. The total sample of size 25,000 housing units results at the end of the sampling process and this sample represents the whole country in different probabilities depend on the different sample sizes allocated for the selection domains.

Allocation of the number of PSUs or determining the sample sizes for the districts is made proportionate to the number of housing units and the standard deviations of the mean household expenditure values reported in the respective districts in previous surveys (Neymann Allocation). Sector allocation of the district sample is made proportionate to the square roots of the sizes of the respective selection domains (Urban, Rural and Estate sectors in the district). The sample of PSUs within the selection domain is equally distributed among the 12 survey months and the monthly sample too is equally dispersed among all the weeks in the month assigning a specific week for each PSU for the survey activities.

Sample allocation and completion by district District == Housing units Selected == Housing units Responded == Households responded

Sri Lanka  6557    5407    5442
Colombo 770   575   577
Gampaha 638   501   504
Kalutara  410   325   330
Kandy  340   275   277
Matale 170   154   158
Nuwara Eliya  260   208   213
Galle  389   344   345
Matara 350   302   304
Hambantota 230   188   188
Jaffna 200   168   170
Mannar 90   72   72
Vavuniya  80   73   73
Mullaitivu 80   70   70
Kilinochchi 110   93   93
Batticaloa 200   170   170
Ampara 240   209   209
Trincomalee 130   107   107
Kurunegala 350   298   299
Puttalam  200   174   174
Anuradhapura  240   213   213
Polonnaruwa 180   153   153
Badulla 220   186   191
Moneragala 190   154   154
Ratnapura  260   222   224
Kegalle 230   173   174 

Sample allocation for sectors sector == Housing units Selected == Housing units Responded == Households responded

Sri Lanka  6557    5407    5442
Urban  1720    1386    1397
Rural  4149    3457    3475
Estate 688   564   570

Mode of data collection

Face-to-face [f2f]

Research instrument

The HIES questionnaire was revised in 2006/07 and now it con-sists of nine sections to collect household information covering the following areas. i. Demography ii. School education iii. Health iv. Food and non-food expenditure v. Income vi. Inventory of durable goods vii. Access to facilities in the area and debts of the households viii. Housing Information ix. Agriculture holdings and Livestock

Clinical and psychosocial factors associated with domestic violence (DV) in Kandy, Sri Lanka.

人口：中年人口：女性：斯里兰卡康堤在06-01-2017达760.000千人，相较于06-01-2016的750.000千人有所增长。人口：中年人口：女性：斯里兰卡康堤数据按年更新，06-01-2001至06-01-2017期间平均值为722.000千人，共17份观测结果。该数据的历史最高值出现于06-01-2017，达760.000千人，而历史最低值则出现于06-01-2001，为655.000千人。CEIC提供的人口：中年人口：女性：斯里兰卡康堤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。

Abstract

Self-employment accounts for a large share of female employment in most developing countries, and it is considered an important avenue for women's economic empowerment. However, the majority of female-owned enterprises are small in scale with commensurately low earning levels.

Researchers from the World Bank, University of Peradeniya, and Warwick University designed an impact evaluation study to investigate the effectiveness of business training to increase female labor force participation and to raise the income levels of low-earning women already in business in Sri Lanka.

The International Labor Organization's Start-and-Improve Your Business (SIYB) program is one of the most common training courses in developing countries. This program has been given to over 4.5 million people in more than 95 countries.

In Sri Lanka, using a randomized design, researchers tested whether the impact of SIYB training alone differed from the training combined with access to capital in the form of a grant. Two samples were chosen. The first sample consisted of 624 women operating a business and earning an income of less than $2 per day. The second sample consisted of 628 women who were out of the labor force at baseline, but who expressed interest in starting a business within the next year. The first sample was referred to as "current business owners" and the second - as "potential business owners." Each sample was randomized into three groups: a control group, a group invited to attend training, and a group invited to receive the training and a grant of $129, conditional on completing the training.

A baseline survey was conducted in January 2009. Training took place in April and May 2009, and the cash grants were distributed in June 2009. Four rounds of follow-up surveys were carried out in September 2009, January 2010, September 2010, and June 2011 (rounds 2, 3, 4 and 5 respectively). The follow-up surveys asked detailed information about business outcomes, including the key performance measures of business profits in the last month, sales in the last month, and capital stock (including raw materials and inventories).

Geographic coverage

Two largest urban areas in Sri Lanka - greater Colombo and greater Kandy.

Analysis unit

1) Female current business owners. This group consisted of self-employed women who worked more than 20 hours per week in self-employment, were involved in a sector other than seasonal agriculture or fisheries, and had monthly profits of 5000 Rs or less (the median in the general population of female self-employed).

2) Female potential business owners. This group consisted of women who were out of the labor force, but who were likely to enter the labor force within the next year. For females out of the labor force and between 25 and 45 years of age, the screening survey asked directly whether the woman planned to enter self-employment in the next year, as well as the nature of the business that she planned to start. As a signal of seriousness of intent, researchers sampled only women who were able to identify the type of business that they planned to start. Since the ability to participate in full-day business training program was important for the proposed intervention, respondents were also asked about the availability of child care for any children younger than five years of age.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was chosen in two largest urban areas in Sri Lanka - greater Colombo and greater Kandy. Within each of the two urban areas, researchers selected 5 D.S. divisions in urban and semi-urban areas. There are four administrative levels in Sri Lanka: Provinces (9), Districts (25), Divisional Secretariat (D.S.) Divisions (324), and Grama Niladari (G.N.) Divisions (14,008). A training venue was located in each of the ten D.S. Divisions, thus minimizing the required travel time for project participants.

Within each D.S. division researchers then conducted a door-to-door screening exercise in selected G.N. Divisions. The short screening survey gathered employment information on females aged 25 to 45 living in the household. Based on the screening, a sample of 628 current business owners and 628 potential business owners was selected. This sample was stratified to take approximately 63 of each type in each D.S., in order to have equal sized groups at each training location.

Detailed information about sampling and randomization procedures is available in "Business Training and Female Enterprise Start-up, Growth, and Dynamics: Experimental evidence from Sri Lanka" report.

Mode of data collection

Face-to-face [f2f]

Research instrument

A separate questionnaire was designed for each of the five rounds for current firm owners and each of the five rounds for potential firm owners.

After the second round, potential firm owners who had opened a business were instead given the current firms questionnaires. After the third round, firm owners who had said they operate more than one business in the previous round were given the multi-firm questionnaire.

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].

人口：中年人口：斯里兰卡康堤在06-01-2018达1,468.000千人，相较于06-01-2017的1,452.000千人有所增长。人口：中年人口：斯里兰卡康堤数据按年更新，06-01-1991至06-01-2018期间平均值为1,374.500千人，共28份观测结果。该数据的历史最高值出现于06-01-2018，达1,468.000千人，而历史最低值则出现于06-01-1992，为1,249.000千人。CEIC提供的人口：中年人口：斯里兰卡康堤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。