Number and percentage of live births, by month of birth, 1991 to most recent year.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_6150f21b0892b3fdde546d2a1af2af82/view

Project Description

The Paradis corpus consists of naturalistic language samples from 25 children learning English as a second language (English language learners or learners of English as an additional language). Transcription is in English orthography only; phonetic transcription was not included in this research. Any real names of people or places in the transcripts have been replaced with pseudonyms. The participants are identified with four letter codes.

Content

The data in this corpus was collected in 2002 in Edmonton, Canada. Children were video-‐taped in conversation with a student research assistant in their homes for approximately 45 minutes. During this time, the research assistant had a list of “interview” questions to ask. If the child introduced his or her own topics and the conversation moved forward, the questions were not asked. This dataset only includes data from the first stage of data collection, in 2002. The full longituinal corpus may be found on the CHILDES website, here: http://childes.talkbank.org/access/Biling/Paradis.html

These data are in .cha files, which are intended for use with the program CLAN (http://alpha.talkbank.org/clan/). However, you may also treat these files as raw text files, with one speech snippet per line. Lines starting with @ are metadata.

File format information:

• *EXP: Experimenter speaking
• *CHI: Child speaking
• %[some text]: These lines contain non-linguistic information

Biographical data

Participants in this study were children from newcomer (immigrant and refugee) families to Canada. The children started to learn English as a second language (L2) after their first language (L1) had been established, at 4 years 11 months on average. In the table below, “AOA” refers to the “age of arrival” of the child when the family immigrated. The number “1” indicates children who were Canadian born. The column “AOE” refers to the age of onset of English acquisition. All ages are in months. Each child’ s L1 and gender is also listed in the table below.

For more information about the participants and procedures in this research, see the following:

Paradis, J. (2005). Grammatical morphology in children learning English as a second language: Implications of similarities with Specific Language Impairment. Language, Speech and Hearing Services in the Schools, 36, 172-187. Golberg, H., Paradis, J. & Crago, M. (2008). Lexical acquisition over time in minority L1 children learning English as a L2. Applied Psycholinguistics, 29, 1-25.

Inspiration:

• Does children’s first language affect what English words they use? How many words?
• Do some children pause (marked as (.) or (..)) more often than others?
• Do children at different ages interrupt/overlap their speech more often? (Marked by <> around text.)
• Does a children’s age of first exposure to English affect how often then say “um”? (Transcribed as“&-um”.)

Related datasets:

• When do children learn words?
• Diagnosing specing language impairment in children

Abstract copyright UK Data Service and data collection copyright owner. The study looks at young people's well-being in urban and rural communities in two regions of Siberia. The major contextual factor is locality. One of the study regions is at the centre, around Russia's third city of Novosibirsk; the other is at the periphery, in the Republic of Altai, around the small city of Gorno-Altaisk. The cohort of young people in the study were born towards the end of the 1980s and began their schooling in the 1990s during a period of profound change, uncertainty and reform, after the collapse of Soviet society. At the time of the study, these young people were at a critical juncture in their lives, at the end of their compulsory education, and so, had to contemplate their futures beyond school. The major aim of the study was to examine young people’s situations and well-being in social context, and particularly the extent of urban-rural divides in young people’s situations and well-being, and also the extent of socio-economic variations in well-being between urban and rural society. The study used: a self-completion questionnaire in 72 schools (15 year-olds, n =1,400, 95% response rate); individual interviews with a sub-sample of survey participants to obtain more detailed accounts of young people’s lives and situations (n=120); and friendship group interviews with older youth (n=20) (the data deposited consists of the results from the self-completion questionnaire only). Fieldwork in small communities was clustered within selected rural districts. Checks with limited official data available show the sample reflects urban-rural population distributions, household profiles and ethnicity in the two regions. The survey datasets are distinctive among studies of Russian youth: they provide a regional focus in Siberia, away from western Russia; they comprise a diversity of urban and rural settings; they are supplemented by interviews; they look at subjective components of young people’s situations and well-being, alongside profiles of their household circumstances; and they allow for intra-regional, inter-regional and international comparisons. Main Topics: The survey includes information on the following aspects of young people’s situations and lives in the home communities: socio-demographics, such as gender, age, ethnicity, locality, family migration and family structure, deprivation and education; profiles of young people’s feelings of life satisfaction, self-worth, depression, psychological distress, and self-reports of health complaints and general health; family life and family relations; aspects of leisure time and activities at home and away from home, including unstructured and informal leisure activities; community life, attachment and migration intentions; school life, educational and career aspirations and young people’s hopes for the future; friendships and relations with peers; social supports and isolation; loneliness and victimisation; part-time employment, spending-money, if any, and what young people’s money goes on; health-relevant behaviours such as physical activity or tobacco, alcohol and illicit drug use; getting into trouble and anti-social behaviour; and finally, social values. Quota sample Purposive selection/case studies Face-to-face interview Self-completion Face-to-face was used briefly to cross-check family circumstances after self-completion of questionnaire

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_2f8073d5dda91ee3f8f89d6f1fb40cb7/view

The Cape Area Panel Study (CAPS) is a longitudinal study of the lives of youths and young adults in metropolitan Cape Town, South Africa. The first wave of the study collected interviews from about 4800 randomly selected young people age 14-22 in August-December, 2002. Wave 1 also collected information on all members of these young people’s households, as well as a random sample of households that did not have members age 14-22. A third of the youth sample was re-interviewed in 2003 (Wave 2a) and the remaining two thirds were re-visited in 2004 (Wave 2b). The full youth sample was then re-interviewed in 2005 (Wave 3), 2006 (Wave 4) and 2009 (Wave 5). Wave 3 includes interviews with approximately 2000 co-resident parents of young adults, while wave 4 also includes interviews with a sample of older adults (all individuals from the original 2002 households who were born on or before 1 January 1956) and all children born to the female young adults. The fifth wave comprises all respondents interviewed in any of the Waves 2a, 3 or 4. In 2010 there were telephonic follow-ups or proxy interviewed that tried to capture those that were not successfully interviewed during the course of the 2009 fieldwork. The study covers a wide range of outcomes, including schooling, employment, health, family formation, and intergenerational support systems. CAPS began in 2002 as a collaborative project of the Population Studies Center in the Institute for Social Research at the University of Michigan and the Centre for Social Science Research at the University of Cape Town (UCT). Other units involved in subsequent waves include UCT’s Southern African Labour and Development Research Unit and the Research Program in Development Studies at Princeton University. Primary funding is provided by the National Institute of Child Health and Human Development of the U.S. National Institutes of Health (NIH). Additional funding has been provided by the Office of AIDS Research, the Fogarty International Center, and the National Institute of Aging of NIH, and by grants from the Andrew W. Mellon Foundation to the University of Michigan and the University of Cape Town.

Abstract

The Kilifi Health and Demographic Surveillance System (KHDSS), located on the Indian Ocean coast of Kenya, was established in 2000 as a record of births, pregnancies, migration events, deaths and cause of deaths and is maintained by 4-monthly household visits. The study area was selected to capture the majority of patients admitted to Kilifi District Hospital. The KHDSS has 284 000 residents and covers 891 km2 and the hospital admits 4400 paediatric patients and 3400 adult patients per year. At the hospital, morbidity events are linked in real time by a computer search of the population register. Linked surveillance was extended to KHDSS vaccine clinics in 2008.

KHDSS data have been used to define the incidence of hospital presentation with childhood infectious diseases (e.g. rotavirus diarrhoea, pneumococcal disease), to test the association between genetic risk factors (e.g. thalassaemia and sickle cell disease) and infectious diseases, to define the community prevalence of chronic diseases (e.g. epilepsy), to evaluate access to health care and to calculate the operational effectiveness of major public health interventions (e.g. conjugate Haemophilus influenzae type b vaccine). Rapport with residents is maintained through an active programme of community engagement. A system of collaborative engagement exists for sharing data on survival, morbidity, socio-economic status and vaccine coverage.

Geographic coverage

Kilifi District is situated 60km to the north of Mombasa on the Kenyan coast. It has an area of approximately 2,500 square kilometres and a population of 650,000. A flat coastal strip extends approximately 10km inland to low hills rising to an altitude of 250 metres

An area of 891 km2 was selected as the smallest number of administrative sublocations that collectively included the stated sublocation of residence of at least 80% of paediatric inpatients in the preceding 3 years (1998-2000). KDH is located in Kilifi town, 3° south of the equator and KHDSS extends up and down the coastal strip for 35 km from Kilifi. KDH is the only inpatient facility offering paediatric services in the KHDSS area. The local economy is based on subsistence farming of maize, cassava, cashew nuts and coconuts as well as goats and dairy cows. Two large agricultural estates, two research institutes and several tourist hotels contribute to local employment.

Analysis unit

Individual

Universe

All individuals in the HDSS area

Frequency of data collection

Three rounds in a year

Sampling procedure

No sampling, complete population surveyed

Sampling deviation

Not Applicable

Mode of data collection

Proxy Respondent [proxy]

Research instrument

1. Enumeration of persons

The Enumeration of People Data Entry Form has all names of residents within an homestead (Hm). This form bears the Enumeration Zone ( EZ) and Hm numbers, Hm name and name of homesteadhead. Also, it has details of each individual such as name, sex, ethinicity, pregnancy status, Kenya national identification number, Mother's national identification card number as well as the BU where an individual sleeps. A Fw uses this form to up-date the residence status of people.

1. Enumeration of buildings

This form has a list of all homesteads and existing buildings in each homestead (Hm). The form indicates: Hm name, Hm number and building units(BUs) in alphabet numbers. The geographical co-ordinates and materials used to make each building are also included. The census FWs update this form to show if the building unit still exists or if the BU has been demolished.

1. Listing of all registered Homesteads The Listing of All Registered Homesteads form has all active Hms in a sub-enumeration zone (sub- EZ) according to the previous census round. It is used to confirm number and specific HMs in a sub-EZ with the records of Building Structure (BS) Data Entry Form

2. In migrants

This form is used to record new people who have moved into an existing or a new homestead, or people who have been present but missed in the previous census rounds and intend to stay for the next three or more months.

5 .Births

This form is used to record all new born babies by resident mothers. In this form, all personal details of the baby are recorded and linked to those of the mother if she is a resident.

1. Pregnancy All resident women within the reproductive age bracket i.e., between 15 and 49 years, are usually flagged in the Enumeration Data Entry form to be asked about their pregnancy status.

2. Change person details Change Personal Details Data Entry form is designed to record changes of personal details.The Change Personal Details Data Entry form provides fields and codes used to effect such changes or corrections. Accuracy of the new value must be supported by evidence, preferrably documented evidence for example, a national identification card for date of birth.

8 .Change buildings details The change buildings details data entry form is designed to record changes relating to building materials, category and coordinates of a building unit as well as change of homestead names. Potential areas for changes and corrections include the Hm name, roof, wall, storey, longitudes, latitudes and elevation. Specific codes are used to describe the type of a building characteristic to be changed.

1. Maps KHDSS enumerators use EZ maps with a list of Hms that bears coresponding Hm numbers. Vital landmarks, roads and other features are displayed on a map to assist locate and identify Hms. These maps are up-dated every census round by the mapping team and enumerators. Global Positioning System (GPS) and Geographic Information System (GIS) technologies are used to develop and maintain a mapping database. ETrex garmin GPS receivers are used to collect spatial data and ArcGIS 10 is used to manipulate, edit, store and generate maps.

10.Verbal autopsy

11.Extra Questions

Cleaning operations

Manual editing A manual editor on daily basis checks completed tools for completeness and consistency. Those that have issues are returned to the responsible fieldworkers for correction and/or follow ups. Manual editor’s reports are instrumental in evaluating fieldworkers after every two weeks.

Complementary nature of KEMRI studies Kemri-Wellcome Trust Programme has a number of research studies being conducted in the same KHDSS census area. Some of these studies are nested within the KHDSS and have proved useful in improving data quality. For example, issues have been raised concerning some details such as date of birth and sex, which prompted verifications in the field and corrections.

The following processing checks are done during the ETL process.

1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.
2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.

3. If the transition events are legal. The list of legal transitions:

   Birth followed by death Birth followed by exit Birth followed by end of observation Birth followed by outmigration

   Death followed by none

   Entry followed by death Entry followed by exit Entry followed by end of observation Entry followed by outmigration Enumeration followed by death Enumeration followed by exit Enumeration followed by outmigration

   Exit followed by entry

   Inmigration followed by Death Inmigration followed by exit Inmigration followed by end of observation Inmigration followed by outmigration

   End of observation followed by none

   Outmigration followed by none Outmigration followed by enumeration Outmigration followed by inmigration

   The list of illegal transitions:

   Birth followed by none Birth followed by birth Birth followed by entry Birth followed by enumeration Birth followed by inmigration

   Death followed by birth Death followed by death Death followed by entry Death followed by enumeration Death followed by exit Death followed by inmigration Death followed by outmigration Death followed by end of observation

   Entry followed by none Entry followed by birth Entry followed by entry Entry followed by enumeration Entry followed by inmigration

   Enumeration followed by none Enumeration followed by birth Enumeration followed by entry Enumeration followed by enumeration Enumeration followed by inmigration

   Exit followed by birth Exit followed by death Exit followed by exit Exit followed by end of observation Exit followed by outmigration

   Inmigration followed by none Inmigration followed by birth Inmigration followed by entry Inmigration followed by enumeration Inmigration followed by inmigration

   End of observation followed by birth End of observation followed by death End of observation followed by entry End of observation followed by enumeration End of observation followed by exit End of observation followed by inmigration End of observation followed by end of observation End of observation followed by outmigration

   Outmigration followed by birth Outmigration followed by death Outmigration followed by exit Outmigration followed by end of observation Outmigration followed by outmigration

   List of edited events:

   Exit followed by none Exit followed by enumeration Exit followed by inmigration Outmigration followed by entry

Response

Stata code to derive a variable to identify only children – i.e. individuals without siblings – in four British birth cohorts: • 1946 MRC National Survey of Health and Development (NSHD) • 1958 National Child Development Study (NCDS) • 1970 British Cohort Study (BCS70) • Millennium Cohort Study (MCS) Please see the accompanying documentation for a description of how we derived the only child indicator in each of the four studies.One child families are becoming more common in many advanced societies, including the UK. 18% of U.K. women who were born around 1970 had only one child, in contrast to 13% who were born around 1945 (i.e. their mothers' generation). Previous research suggests that despite strong negative stereotypes of only children (which characterize them as spoiled, overprotected and lonely due to lack of siblings), on average, only children do as well as children with few siblings and better than children from large families. However, existing evidence largely comes from U.S. research conducted during or before the 1980s and it is unclear whether it applies to current or past patterns in the U.K. since the context in which only child families are formed and their characteristics may vary over time and space. Moreover, very little is known about the longer-term well-being of only children and whether growing up without siblings may affect their life chances and well-being in older ages. To address these gaps in knowledge, I propose an innovative programme of research to study the effects of being an only child in childhood and adulthood in the UK. The project uses data from four UK longitudinal datasets: the 1946 National Survey of Health and Development (NSHD), the 1958 National Child Development Study (NCDS), the 1970 British Cohort Study (BCS) and the Millennium Cohort Study (MCS) which follows a group of children born in 2000-2002. These are large surveys which follow the lives the cohort members from birth onwards. The project has four main objectives: 1) to analyse the socio-demographic characteristics of only children families and whether and how they have changed over time; 2) to compare the well-being (e.g. cognitive) of only children relative to the well-being of children growing up with siblings over time; 3) using data from the 1946, 1958 and 1970 cohort studies to analyse the social/demographic characteristics (e.g. education, fertility, partnership trajectories) and health of only children over the life course; 4) using data from the 1946 and 1958 cohort studies to analyse the well-being (e.g. health, social support, loneliness) of only children in older age. This is the first comprehensive project on the well-being of only children in the U.K. and it has the potential to make a significant contribution not only to the scientific literature but also to society as its findings will be immediately relevant to third sector organizations working with children and adults, government departments designing policies to improve the lives of troubled children and of older people at risk of loneliness and only children families themselves. Stata code derives indicator of only child status using existing variables in the four datasets (see Related resources and Notes on access for information on accessing the survey datasets). See also the accompanying code documentation for further details of variable derivation.

B0427 - 2002 Population Aged One Year and Over Usually Resident and Present in the State who Lived Outside the State for One Year or More. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).2002 Population Aged One Year and Over Usually Resident and Present in the State who Lived Outside the State for One Year or More...

The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

Survey and Biomeasures Data (GN 33004):
To date there have been ten attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137), the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669), and the tenth sweep was conducted in 2020-24 when the respondents were aged 60-64 (held under SN 9412).

A Secure Access version of the NCDS is available under SN 9413, containing detailed sensitive variables not available under Safeguarded access (currently only sweep 10 data). Variables include uncommon health conditions (including age at diagnosis), full employment codes and income/finance details, and specific life circumstances (e.g. pregnancy details, year/age of emigration from GB).

Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

Linked Geographical Data (GN 33497):
A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

Linked Administrative Data (GN 33396):
A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

Multi-omics Data and Risk Scores Data (GN 33592)
Proteomics analyses were run on the blood samples collected from NCDS participants in 2002-2004 and are available under SL SN 9254. Metabolomics analyses were conducted on respondents of sweep 10 and are available under SL SN 9411.

Additional Sub-Studies (GN 33562):
In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.

The National Child Development Deaths Dataset, 1958-2014: Special Licence Access contains data on known deaths among members of the NCDS birth cohort from 1958 to 2013. Information on deaths has been taken from the records maintained by the organisations responsible for the study over the life time of the study: the National Birthday Trust Fund, the National Children’s Bureau (NCB), the Social Statistics Research Unit (SSRU) and the CLS. The information has been gleaned from a variety of sources, including death certificates and other information from the National Health Service Central Register (NHSCR), and from relatives and friends during survey activities and cohort maintenance work by telephone, letter and e-mail. It includes all deaths up to 31st December 2013. In only 6 cases are the date of death unknown. By the end of December 8.7 per cent of the cohort were known to have died.

The National Child Development Study Response and Outcomes Dataset, 1958-2013 (SN 5560) covers other responses and outcomes of the cohort members and should be used alongside this dataset.

For the 3rd edition (July 2018) an updated version of the data was deposited. The new edition includes data on known deaths among members of the National Child Development Study (NCDS) birth cohort up to 2016. The user guide has also been updated.

Abstract

The study included four separate surveys:

1. The LSMS survey of general population of Serbia in 2002

2. The survey of Family Income Support (MOP in Serbian) recipients in 2002 These two datasets are published together separately from the 2003 datasets.

3. The LSMS survey of general population of Serbia in 2003 (panel survey)

4. The survey of Roma from Roma settlements in 2003 These two datasets are published together.

Objectives

LSMS represents multi-topical study of household living standard and is based on international experience in designing and conducting this type of research. The basic survey was carried out in 2002 on a representative sample of households in Serbia (without Kosovo and Metohija). Its goal was to establish a poverty profile according to the comprehensive data on welfare of households and to identify vulnerable groups. Also its aim was to assess the targeting of safety net programs by collecting detailed information from individuals on participation in specific government social programs. This study was used as the basic document in developing Poverty Reduction Strategy (PRS) in Serbia which was adopted by the Government of the Republic of Serbia in October 2003.

The survey was repeated in 2003 on a panel sample (the households which participated in 2002 survey were re-interviewed).

Analysis of the take-up and profile of the population in 2003 was the first step towards formulating the system of monitoring in the Poverty Reduction Strategy (PRS). The survey was conducted in accordance with the same methodological principles used in 2002 survey, with necessary changes referring only to the content of certain modules and the reduction in sample size. The aim of the repeated survey was to obtain panel data to enable monitoring of the change in the living standard within a period of one year, thus indicating whether there had been a decrease or increase in poverty in Serbia in the course of 2003. [Note: Panel data are the data obtained on the sample of households which participated in the both surveys. These data made possible tracking of living standard of the same persons in the period of one year.]

Along with these two comprehensive surveys, conducted on national and regional representative samples which were to give a picture of the general population, there were also two surveys with particular emphasis on vulnerable groups. In 2002, it was the survey of living standard of Family Income Support recipients with an aim to validate this state supported program of social welfare. In 2003 the survey of Roma from Roma settlements was conducted. Since all present experiences indicated that this was one of the most vulnerable groups on the territory of Serbia and Montenegro, but with no ample research of poverty of Roma population made, the aim of the survey was to compare poverty of this group with poverty of basic population and to establish which categories of Roma population were at the greatest risk of poverty in 2003. However, it is necessary to stress that the LSMS of the Roma population comprised potentially most imperilled Roma, while the Roma integrated in the main population were not included in this study.

Geographic coverage

The surveys were conducted on the whole territory of Serbia (without Kosovo and Metohija).

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample frame for both surveys of general population (LSMS) in 2002 and 2003 consisted of all permanent residents of Serbia, without the population of Kosovo and Metohija, according to definition of permanently resident population contained in UN Recommendations for Population Censuses, which were applied in 2002 Census of Population in the Republic of Serbia. Therefore, permanent residents were all persons living in the territory Serbia longer than one year, with the exception of diplomatic and consular staff.

The sample frame for the survey of Family Income Support recipients included all current recipients of this program on the territory of Serbia based on the official list of recipients given by Ministry of Social affairs.

The definition of the Roma population from Roma settlements was faced with obstacles since precise data on the total number of Roma population in Serbia are not available. According to the last population Census from 2002 there were 108,000 Roma citizens, but the data from the Census are thought to significantly underestimate the total number of the Roma population. However, since no other more precise data were available, this number was taken as the basis for estimate on Roma population from Roma settlements. According to the 2002 Census, settlements with at least 7% of the total population who declared itself as belonging to Roma nationality were selected. A total of 83% or 90,000 self-declared Roma lived in the settlements that were defined in this way and this number was taken as the sample frame for Roma from Roma settlements.

Planned sample: In 2002 the planned size of the sample of general population included 6.500 households. The sample was both nationally and regionally representative (representative on each individual stratum). In 2003 the planned panel sample size was 3.000 households. In order to preserve the representative quality of the sample, we kept every other census block unit of the large sample realized in 2002. This way we kept the identical allocation by strata. In selected census block unit, the same households were interviewed as in the basic survey in 2002. The planned sample of Family Income Support recipients in 2002 and Roma from Roma settlements in 2003 was 500 households for each group.

Sample type: In both national surveys the implemented sample was a two-stage stratified sample. Units of the first stage were enumeration districts, and units of the second stage were the households. In the basic 2002 survey, enumeration districts were selected with probability proportional to number of households, so that the enumeration districts with bigger number of households have a higher probability of selection. In the repeated survey in 2003, first-stage units (census block units) were selected from the basic sample obtained in 2002 by including only even numbered census block units. In practice this meant that every second census block unit from the previous survey was included in the sample. In each selected enumeration district the same households interviewed in the previous round were included and interviewed. On finishing the survey in 2003 the cases were merged both on the level of households and members.

Stratification: Municipalities are stratified into the following six territorial strata: Vojvodina, Belgrade, Western Serbia, Central Serbia (Šumadija and Pomoravlje), Eastern Serbia and South-east Serbia. Primary units of selection are further stratified into enumeration districts which belong to urban type of settlements and enumeration districts which belong to rural type of settlement.

The sample of Family Income Support recipients represented the cases chosen randomly from the official list of recipients provided by Ministry of Social Affairs. The sample of Roma from Roma settlements was, as in the national survey, a two-staged stratified sample, but the units in the first stage were settlements where Roma population was represented in the percentage over 7%, and the units of the second stage were Roma households. Settlements are stratified in three territorial strata: Vojvodina, Beograd and Central Serbia.

Mode of data collection

Face-to-face [f2f]

Research instrument

In all surveys the same questionnaire with minimal changes was used. It included different modules, topically separate areas which had an aim of perceiving the living standard of households from different angles. Topic areas were the following: 1. Roster with demography. 2. Housing conditions and durables module with information on the age of durables owned by a household with a special block focused on collecting information on energy billing, payments, and usage. 3. Diary of food expenditures (weekly), including home production, gifts and transfers in kind. 4. Questionnaire of main expenditure-based recall periods sufficient to enable construction of annual consumption at the household level, including home production, gifts and transfers in kind. 5. Agricultural production for all households which cultivate 10+ acres of land or who breed cattle. 6. Participation and social transfers module with detailed breakdown by programs 7. Labour Market module in line with a simplified version of the Labour Force Survey (LFS), with special additional questions to capture various informal sector activities, and providing information on earnings 8. Health with a focus on utilization of services and expenditures (including informal payments) 9. Education module, which incorporated pre-school, compulsory primary education, secondary education and university education. 10. Special income block, focusing on sources of income not covered in other parts (with a focus on remittances).

Response rate

During field work, interviewers kept a precise diary of interviews, recording both successful and unsuccessful visits. Particular attention was paid to reasons why some households were not interviewed. Separate marks were given for households which were not interviewed due to refusal and for cases when a given household could not be found on the territory of the chosen census block.

In 2002 a total of 7,491 households were contacted. Of this number a total of 6,386 households in 621 census rounds were interviewed. Interviewers did not manage to collect the data for 1,106 or 14.8% of selected households. Out of this number 634 households

Population growth in The Netherlands by birth, death and migration by sex and region.

In addition to national data, information is presented by group of provinces, province, COROP region and municipality.

The regional totals shown concern cumulated municipal data. Where changes of municipal boundaries transect regional boundaries, the municipal classifications concerns the most recent situation. The municipality of Vianen, for example, was annexed by the province of Utrecht on 1 January 2002, and is classified under the province of Utrecht in the Table.

Data available from: 1942

Status of the figures: All data recorded in this publication are final data. Up to 1977 data may differ from other published data on StatLine. This is due to differences between the data files used by Statistics Netherlands and the official data as published in 'Loop van de bevolking per gemeente'.

Changes as of 9 July 2025: Final figures of 2024 have been added.

When will new figures be published? In the 3rd quarter of 2026 figures of 2025 will be added in this table.

This longitudinal survey concentrates on the socio-economic and socio-cultural position of the four largest ethnic minority groups in the Netherlands: Turks, Moroccans, Surinamese and Antillians/Arubans. It can also give insight in the differences between those groups, and a comparison in time. The survey is accomplished in cooperation with the Netherlands Kinship Panel Study (NKPS). This study covers a wide range of topics. Education: in Netherlands or abroad, how many years, level and type / now following education / education of parents Work: kind of work, how long with this company, how got this job / training, promotion / supervising position / work with Dutch people or own ethnic group / ever been unemployed / if not working, why, looking for work. Income: net income, does r. get any benefit (unemployment, old age, study, WAO) / income enough to live off / send money or goods to home country, how many people dependent. Health: how is health, how often visit GP. Language: speak Dutch with spouse, children / trouble with Dutch language in conversation, reading newspapers, letters Nationality: which / kind of papers allow r. to live in the Netherlands / what group do you consider yourself part of, do you think the position of this group has changed for the better or worse in the recent years, own position. Social: is r. member of a (sports) club, many or few members of same ethnic group / does r. have Dutch visitors, spend more time with Dutch people or own ethnic group / would r. like to move back to home country, why (not). Religion: which, same religion as brought up in / importance / how often visit church. Neighbourhood: contact with neighbours / feel at home in neighbourhood / foreigners in neighbourhood. Opinions on: Importance of education for boys and girls / illegal work / divorce / respect for authorities, parents / euthanasia / death penalty / punishment / sex / relations / best age for woman to marry, get first child, what size of family is best / role of mother and father in providing, care, decisions. Born in which country, mother, father, r., spouse / age / how many people in household, married, living together / how many children, living at home / what age left parent's house / what year came to live in the Netherlands, why / have lived outside the Netherlands after moving here, how long, why. Op verzoek van deposant zijn de databestanden vanaf 20dec2022 Open Access beschikbaar.

The Swedish income panel was originally set up in the beginning of the 90s to make studies of how immigrants assimilate in the Swedish labour market possible. It consists of large samples of foreign-born and Swedish-born persons. Income information from registers is added for nearly 40 years. In addition income information relating to spouses is also available as well as for a subset of mothers and fathers. This makes it possible to construct measures of household income based on a relatively narrow definition. However, starting in 1998 there is also more information making it possible to include children over 18 and their incomes in the family. By matching with some different additional registers information has been added for people who have been unemployed or involved in labour market programmes during the 90s, on causes of deaths for people who have deceased since 1978 and on recent arrived immigrants from various origins. It has turned out that the data-base is quite useful for analysing research-questions other than originally motivating construction of the panel. The panel has been used for cross country comparisons of immigrants in the labour market and to analyse income mobility for different breakdowns of the population, and analyses the development in cohort income. There have been analyses of social assistance receipt among immigrants as well as studies of intergeneration mobility of income, the labour market situation of young immigrants and the second generation of immigrants. On-going work includes evaluation of labour market training programmes and studies of early retirement among immigrants. Planned work includes studies of the economic transition from child to adulthood during the 80s and 90s as well as studies of how frequent immigrant children are subject to measures under the Social Service Act and the Care of Youth Persons Act. The potentials of the Swedish Income Panel can be understood if one compares it with better known income-panels in other countries. For example SWIP covers more years and has a larger sample than the German Socio-Economic Panel (GSOEP). On the other hand, the fact that information is obtained from registers only makes this Swedish panel less rich in variables. There are striking parallels between the Gothenburg Income Panel and the labour market panel at the Centre for Labour Market and Social Research in Aarhus for the Danish population.

About this dataset

Context

The dataset tabulates the Adak population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Adak across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Adak was 154, a 1.32% increase year-by-year from 2022. Previously, in 2022, Adak population was 152, a decline of 1.94% compared to a population of 155 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Adak decreased by 157. In this period, the peak population was 364 in the year 2002. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Adak is shown in this column.
• Year on Year Change: This column displays the change in Adak population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Adak Population by Year. You can refer the same here

Data collected on all German migrants that migrated to the Dutch city Utrecht between 1850-1900. Data have been collected from the population registers. Additional information has been added from other sources.These data files contain data on 2188 German migrants who lived in Utrecht between 1850-1900, their relatives, and the people they shared a house with. The file 'bevolking' is the main file, the files 'namen' and 'kids' are the related files.This is the data set that has been used to write: Marlou Schrover, Een kolonie van Duitsers. Groepsvorming onder Duitse immigranten in Utrecht in de negentiende eeuw (Amsterdam 2002). This book has been added to the dataset on August 24th, 2016.The files were converted from fp7 to fmp12, and uploaded to this dataset on August 24th, 2016. Both the fp7 and the fmp12 files are available to registered users.

Population figures over a 25-year period, including births, deaths and migration by sex for regions and local authorities in England. 2022-based datasets are the latest projection.

Abstract copyright UK Data Service and data collection copyright owner.The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan. The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565. Survey and Biomeasures Data (GN 33004):To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669). Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.Linked Geographical Data (GN 33497): A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. Linked Administrative Data (GN 33396):A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.Additional Sub-Studies (GN 33562):In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website. The National Child Development Study (NCDS) originated in the ‘Perinatal Mortality Survey’, which examined social and obstetric factors associated with still birth and infant mortality among over 17,000 babies born in Britain in the week 3-9 March 1958. Surviving members of this birth cohort have been surveying on eight further occasions in order to monitor their changing health, education, social and economic circumstances – in 1965 (age 7), 1969 (age 11), 1974 (age 16), 1981 (age 23), 1991 (age 33), 1999/2000 (age 41/42), 2004/05 (age 46/47), 2008/09 (age 50) and 2013/14 (age 55). There have also been surveys of sub-samples of the cohort, the most recent occurring in 1995 (age 37), when a 10% representative sub-sample was assessed for difficulties with basic skills. Finally, during 2002-04, 9,340 NCDS cohort members participated in a biomedical survey, carried out by qualified nurses.

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Tobacco consumption (Module 210): This module was asked on behalf of the Department of Customs and Excise to help them estimate the amount of tobacco that is consumed as cigarettes. SunSmart (Module 327): This module was asked on behalf of researchers at the Department of Epidemiology and Public Health, University College London (UCL) to find out whether respondents had heard of SunSmart 2002 and what the main messages of the campaign were. Older workers (Module 325): This module was asked on behalf of researchers at the Department of Educational Studies, at the University of Surrey. They were interested in finding out about changes to the respondent's working situation, which may have occurred in the past three years. Reusable nappies (Module 316): This module was asked on behalf of the Environment Agency who were interested in people who currently use or have used reusable nappies in the past. Telephones (Module 321): This module contains questions about telephones. The module was asked on behalf of the Social Survey Division of the Office for National Statistics as part of their methodology work on Random Digit Dialling for telephone surveys. Withheld deposits (Module 323): This module was asked on behalf of the Office of the Deputy Prime Minister. They were interested in respondents who have lived in privately rented accommodation in the last five years and have either entered or left a private tenancy agreement in the last five years. Stepfamilies (Module 311): This module was asked on behalf of the Population and Demography Division at the Office for National Statistics and asked about dependent children, including adopted and stepchildren. Living Apart Together (Module 312): This module was also asked on behalf of the Population and Demography Division at the Office for National Statistics. The researchers were interested in the changing social pattern of relationships and the resulting households' needs relating to people who are in a relationship but choose to live apart. Multi-stage stratified random sample Face-to-face interview

SWEOLD is a nationally representative survey of the older population in Sweden. The sample consists of individuals previously included in the selection of Swedish Level of Living Survey (LNU), who have passed the LNU age ceiling of 75 years. The first survey was carried out in 1992. Further waves were conducted in 2002, 2004, 2010 and 2014. In 2004 and 2014, the survey included people who were aged 70 and older. A new survey wave will begin in 2021.

SWEOLD data is linked to the LNU, that has been conducted regularly since 1968. This longitudinal database thus provides the opportunity to follow individuals over a 50-year period. In addition to the panel sample, SWEOLD also comprises an additional representative sample of older women and men. As each wave of LNU and SWEOLD is nationally representative, the data can also be used for cross-sectional analyses.

The questionnaire covers a wide variety of areas of concern to elderly people, such as mobility and activities of daily living (ADL and IADL), as well as health, housing, economy, family, political resources and leisure activities. Various tests are included to measure the physical and cognitive ability of these individuals. Indirect interviews are used when a respondent is unable to participate in the interview directly due to physical or cognitive disabilities. Next of kin or professional caregivers are used as proxies.

The fourth SWEOLD study was carried out in 2011. The sample consisted of 829 persons born in 1934 and earlier, who had been in the sample of any of the previous Swedish Level of Living Surveys (LNU). The sample was complemented with an additional sample of 335 women and men aged 85–99. The total response rate was 86.2% (n=931).

For the most part, face-to-face interviews were used to gather data, but in some cases telephone interviews or postal questionnaires were used. Direct interviews were conducted with 73.7% of the respondents and 20.1% were proxy interviews with a close relative or care staff. ‘Mixed’ interviews were used with 6.2% of the respondents, where the respondent took part in the interview with the support from a relative or other close person.