scholarly journals Correction to: How Does Administrative Data Compare with Census Data for the Measurement of Internal Migration? The Case of Northern Ireland, 2001–2011

2021 ◽  
Author(s):  
Brian Foley ◽  
Tony Champion ◽  
Ian Shuttleworth
Keyword(s):  
Northern Ireland ◽  
Administrative Data ◽  
Internal Migration ◽  
Census Data

scholarly journals How Does Administrative Data Compare with Census Data for the Measurement of Internal Migration? The Case of Northern Ireland, 2001–2011

2021 ◽  
Author(s):  
Brian Foley ◽  
Tony Champion ◽  
Ian Shuttleworth
Keyword(s):  
Administrative Data ◽  
Internal Migration ◽  
Census Data ◽  
Local Population ◽  
Population Data ◽  
Population Estimates ◽  
Demographic Groups ◽  
Small Areas ◽  
Intercensal Period ◽  
Statistical Agencies

AbstractThe paper compares and contrasts internal migration measured by healthcard-based administrative data with census figures. This is useful because the collection of population data, its processing, and its dissemination by statistical agencies is becoming more reliant on administrative data. Statistical agencies already use healthcard data to make migration estimates and are increasingly confident about local population estimates from administrative sources. This analysis goes further than this work as it assesses how far healthcard data can produce reliable data products of the kind to which academics are accustomed. It does this by examining migration events versus transitions over a full intercensal period; population flows into and out of small areas; and the extent to which it produces microdata on migration equivalent to that in the census. It is shown that for most demographic groups and places healthcard data is an adequate substitute for census-based migration counts, the exceptions being for student households and younger people. However, census-like information is still needed to provide covariates for analysis and this will still be required whatever the future of the traditional census.

Linking Federal Surveys with Administrative Data to Improve Research on Families

2016 ◽  
Vol 669 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Amy O’Hara ◽  
Rachel M. Shattuck ◽  
Robert M. Goerge
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Low Income ◽  
Family Relationships ◽  
Census Data ◽  
Federal State ◽  
Great Promise ◽  
Science Literature ◽  
Administrative Records ◽  
State And Local

Linkage of federal, state, and local administrative records to survey data holds great promise for research on families, in particular research on low-income families. Researchers can use administrative records in conjunction with survey data to better measure family relationships and to capture the experiences of individuals and family members across multiple points in time and social and economic domains. Administrative data can be used to evaluate program participation in government social welfare programs, as well as to evaluate the accuracy of reporting on receipt of such benefits. Administrative records can also be used to enhance collection and accuracy of survey and census data and to improve coverage of hard-to-reach populations. This article discusses potential uses of linked administrative and survey data, gives an overview of the linking methodology and infrastructure (including limitations), and reviews social science literature that has used this method to date.

scholarly journals Spatial Dynamics of Internal Migration Flows of the Skilled and Unskilled in Mexico

2020 ◽  
Author(s):  
Miguel Flores Segovia ◽  
Eliud Silva
Keyword(s):  
Internal Migration ◽  
Census Data ◽  
Relative Concentration ◽  
Spatial Dynamics ◽  
Unskilled Labor ◽  
Geographical Patterns ◽  
Economic Agglomeration ◽  
Skilled And Unskilled Labor ◽  
Migratory Patterns ◽  
Relationship Of

ABSTRACT: The dynamics of the internal migration is a crucial element in the composition of the workforce of a certain region, so its analysis contributes to the better understanding of labor markets and sociodemographic changes in a region. In order to characterize the most recent patterns of migratory flows of skilled and unskilled labor, census data are considered for the periods 1995-2000, 2005-2010 and 2010-2015. The analysis considers different indicators that describe the intensity and relative concentration of interstate migration. Changes in migratory patterns are evident; a lower concentration of internal migration whose effect is more marked for unskilled labor. That is, it is observed that the number of states that play a preponderant role in the redistribution of labor in Mexico has increased. The relationship of domestic labor mobility is evident to the regional transformation as a result of new geographical patterns of location of investment, production and economic agglomeration.

scholarly journals Creating Additional Census Income Topics from Linked Administrative Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
James Mowle
Keyword(s):  
Income Distribution ◽  
Social Services ◽  
Administrative Data ◽  
Census Data ◽  
Community Services ◽  
Wide Range ◽  
Australian Community ◽  
Linked Administrative Data ◽  
Australian Bureau Of Statistics ◽  
Integration Project

IntroductionThe Census is the largest statistical collection undertaken by the Australian Bureau of Statistics (ABS), with its data critical to informing the planning and delivery of Government and community services. While the Census measure of income supports a wide range of analysis, demand exists for additional income topics to complement and extend the range of socio economic analysis that can be undertaken. The ABS has recently developed three experimental income topics for the 2016 Census using linked administrative data: main source of income; main source of government payments; and previous financial year income. Objectives and ApproachThis research utilised administrative data integrated by the ABS for the Multi-Agency Data Integration Project (MADIP). Taxation data from the Australian Taxation Office (ATO) and social security data from the Department of Social Services (DSS) were used in conjunction with the 2016 Census data to derive the additional topics. ResultsOverall, the three measures compare relatively closely to similar measures from the ABS Survey of Income and Housing (SIH). The ‘Main source of income’ and ‘Main source of government payments’ measures exhibit similar distributions to those from the SIH. The ‘Previous financial year income’ measures compare more closely with Census and SIH at the higher end of the income distribution, with some differences apparent at the lower end of the income distribution. Conclusion / ImplicationsThis work demonstrates the potential to supplement and enhance existing Census topics with linked administrative data. Further research, development and consultation with data users and the Australian community is needed.

Refining Population Surface Models: Experiments with Northern Ireland Census Data

2000 ◽  
Vol 4 (4) ◽  
pp. 343-360 ◽  
Author(s):  
David Martin ◽  
Nicholas J. Tate ◽  
Mitchel Langford
Keyword(s):  
Northern Ireland ◽  
Census Data ◽  
Surface Models

scholarly journals Subsequent Migration of Immigrants Within Australia, 1981–2016

2018 ◽  
Vol 37 (6) ◽  
pp. 1053-1077 ◽  
Author(s):  
James Raymer ◽  
Bernard Baffour
Keyword(s):  
Internal Migration ◽  
Total Population ◽  
Census Data ◽  
Mortality Data ◽  
Host Countries ◽  
Immigrant Populations ◽  
The United Kingdom ◽  
Specific Mortality ◽  
Relative Attractiveness

Abstract Australia is a major immigration country and immigrants currently represent around 28% of the total population. The aim of this research is to understand the long-term consequences of this immigration and, particularly, how migrants respond to opportunities within the country after arriving through the process of subsequent (internal) migration. The focus is on major immigrant groups in Australia, including persons born in the United Kingdom, New Zealand, China and India, and how their patterns differ from persons born in Australia. To conduct this analysis, we have gathered data for a 35-year period based on quinquennial census data. We also obtained birthplace-specific mortality data for constructing multiregional life tables for the immigrant populations. Subsequent migration is important for understanding population redistribution, and the relative attractiveness of destinations within host countries. Our results highlight the importance of subsequent migration and the diversity of migration behaviours amongst different immigrant groups in the context of overall declines in internal migration since 1981.

scholarly journals Models for Combining Aggregate-Level Administrative Data in the Absence of a Traditional Census

2015 ◽  
Vol 31 (3) ◽  
pp. 431-451 ◽  
Author(s):  
Dilek Yildiz ◽  
Peter W.F. Smith
Keyword(s):  
Administrative Data ◽  
Census Data ◽  
Geographical Area ◽  
Population Data ◽  
Population Characteristics ◽  
Data Sources ◽  
Aggregate Level ◽  
Administrative Data Source ◽  
Data Source ◽  
Population Counts

Abstract Administrative data sources are an important component of population data collection and they have been used in census data production in the Nordic countries since the 1960s. A large amount of information about the population is already collected in administrative data sources by governments. However, there are some challenges to using administrative data sources to estimate population counts by age, sex, and geographical area as well as population characteristics. The main limitation with the administrative data sources is that they only collect information from a subset of the population about specific events, and this may result in either undercoverage or overcoverage of the population. Another issue with the administrative data sources is that the information may not have the same quality for all population groups. This research aims to correct an inaccurate administrative data source by combining aggregate-level administrative data with more accurate marginal distributions or two-way marginal information from an auxiliary data source and produce accurate population estimates in the absence of a traditional census. The methodology developed is applied to estimate population counts by age, sex, and local authority area in England and Wales. The administrative data source used is the Patient Register which suffers from overcoverage, particularly for people between the ages of 20 and 50.

scholarly journals The Evolution of Romania’s Internal Migration. Findings from the 1977, 1992, 2002 and 2011 Censuses

2020 ◽  
Vol 2 (1) ◽  
pp. 211-220
Author(s):  
Constanţa Mihăescu ◽  
Adrian Otoiu ◽  
Erika Marin ◽  
Ileana Niculescu-Aron
Keyword(s):  
International Migration ◽  
Internal Migration ◽  
Rural Areas ◽  
Total Population ◽  
Census Data ◽  
Migration Flow ◽  
Economic Changes ◽  
Migration Rates ◽  
Level Data ◽  
Internal Migrants

Abstract Although internal migration has been rather overlooked, both in terms of its magnitude and importance, its ability to reflect socio-economic changes is providing useful insights on the evolution of the Romanian society over the last decades. Based on the analysis of census microdata over the past 4 censuses, some major shifts in the magnitude and patterns in internal migration reveal the fact that characteristics of internal migrants have not only mirrored, but also preceded the changes observed for the total population. Among the most important developments revealed by our analysis have been a slight decrease in migration incidence since 1992, an increase in migrants residing in rural areas, especially in the South region, and a higher incidence among women, perhaps as a counterweight for higher international migration rates among men. Internal migrants’ age profile shows that they are 11 years older than the total population, up from a gap of only 6 years in 1977. Although they tend to be relatively more educated, their advantage has been on a declining trend and, contrary to common perceptions, are less likely to be single. At the county level, data reveals diverging patterns triggered by post-communist development, among which deindustrialization of some countries and strong international migration. These findings help portray the socio-economic changes as revealed by the analysis of census data, and provide any additional feedback to the annual internal migration flow estimates, by assessing the stock of those who moved from their birthplace, and showing how net internal migration patterns have morphed over time, both reflecting and effecting demographic and socioeconomic evolutions of the Romanian society1.

scholarly journals Inter-Provincial Migration in Pakistan 1971-1981

1993 ◽  
Vol 32 (4II) ◽  
pp. 725-735 ◽  
Author(s):  
Azra Perveen
Keyword(s):  
Internal Migration ◽  
Third World ◽  
Census Data ◽  
Life Time ◽  
Sex Characteristics ◽  
Long Distance ◽  
Policy Makers ◽  
Intercensal Period ◽  
New Phenomena ◽  
Age And Sex

The process of international and internal migration involving Pakistan is not a new phenomena as observed in many third world countries. Helbock (1975) studied life-time migrants in the 12 largest cities of Pakistan in 1961. He found that on average, about 15 percent of the residents of these cities had come originally from other districts, the highest rates in these cities showed 30 percent life-time migrants, while the lowest showed 5 percent indicating a wide variation in city growth rate. Irfan (1979) pointed out that internal migration is becoming increasingly long distance and rural urban in orientation in Pakistan. Many other scholars have made valuable contributions to the literature on migration. Details of such studies are found elsewhere [Farooqui and Rukanuddin (1987); Hussain, Afzal and Syed (1965); Ahmad and Abbasi (1981); Shah (1986); Naveed-i-Rahat (1981); Usami (1978); Selier and Nientied (1986); Van Pinxteren (1974)]. Most of the studies (cited above) on internal migration in Pakistan based on census data concentrated on volume and direction and some studies based on sample surveys devoted to patterns and causes of mobility in the country. Although all of these studies provide useful estimates, none of them gives a broad analysis of provincial level figures by age and sex characteristics of the migrants during the intercensal period, which could be used by the planners, policy-makers and administrators.

Sign in / Sign up

Export Citation Format

Share Document