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.

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.

Censuses of penguin, blue-eyed shag, and southern giant petrel populations in the Antarctic Peninsula region, 1994–2000

Polar Record ◽  
2000 ◽  
Vol 36 (199) ◽  
pp. 323-334 ◽  
Author(s):  
Ron Naveen ◽  
Steven C. Forrest ◽  
Rosemary G. Dagit ◽  
Louise K. Blight ◽  
Wayne Z. Trivelpiece ◽  
...  
Keyword(s):  
Antarctic Peninsula ◽  
Census Data ◽  
Population Data ◽  
Gentoo Penguin ◽  
Population Estimates ◽  
Giant Petrel ◽  
Southern Giant Petrel ◽  
The Antarctic ◽  
First Time ◽  
Pygoscelid Penguins

AbstractThis paper presents new census data and population estimates for penguins, blue-eyed shags, and southern giant petrels from 26 sites in the Antarctic Peninsula, collected by the Antarctic Site Inventory from 1994 to 2000. For nine sites, population data or estimates are published for the first time. The newly discovered gentoo penguin population of 215 nests at Herofna Island (63°24'S, 54°36'W) represents the easternmost location where this species has been found breeding in the Peninsula. All three pygoscelid penguins — gentoo, Adelie, and chinstrap — were found breeding at Gourdin Island (63° 12'S, 57° 18'W), the fourth known site where these species nest contiguously in the Peninsula. During the period, significant declines in nesting populations of blue-eyed shag were documented at three northwestern Peninsula locations.

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.

scholarly journals Implications for Tracking SDG Indicator Metrics with Gridded Population Data

2021 ◽  
Vol 13 (13) ◽  
pp. 7329
Author(s):  
Cascade Tuholske ◽  
Andrea E. Gaughan ◽  
Alessandro Sorichetta ◽  
Alex de Sherbinin ◽  
Agathe Bucherie ◽  
...  
Keyword(s):  
Case Studies ◽  
Census Data ◽  
Flash Flood ◽  
Spatial Scales ◽  
Population Data ◽  
End Users ◽  
Population Estimates ◽  
Middle Income ◽  
Hazard Exposure ◽  
Flood Susceptibility

Achieving the seventeen United Nations Sustainable Development Goals (SDGs) requires accurate, consistent, and accessible population data. Yet many low- and middle-income countries lack reliable or recent census data at the sufficiently fine spatial scales needed to monitor SDG progress. While the increasing abundance of Earth observation-derived gridded population products provides analysis-ready population estimates, end users lack clear use criteria to track SDGs indicators. In fact, recent comparisons of gridded population products identify wide variation across gridded population products. Here we present three case studies to illuminate how gridded population datasets compare in measuring and monitoring SDGs to advance the “fitness for use” guidance. Our focus is on SDG 11.5, which aims to reduce the number of people impacted by disasters. We use five gridded population datasets to measure and map hazard exposure for three case studies: the 2015 earthquake in Nepal; Cyclone Idai in Mozambique, Malawi, and Zimbabwe (MMZ) in 2019; and flash flood susceptibility in Ecuador. First, we map and quantify geographic patterns of agreement/disagreement across gridded population products for Nepal, MMZ, and Ecuador, including delineating urban and rural populations estimates. Second, we quantify the populations exposed to each hazard. Across hazards and geographic contexts, there were marked differences in population estimates across the gridded population datasets. As such, it is key that researchers, practitioners, and end users utilize multiple gridded population datasets—an ensemble approach—to capture uncertainty and/or provide range estimates when using gridded population products to track SDG indicators. To this end, we made available code and globally comprehensive datasets that allows for the intercomparison of gridded population products.

scholarly journals Common mental health conditions among navy divers: A brief report

2020 ◽  
Vol 50 (4) ◽  
pp. 417-420
Author(s):  
Charles H Van Wijk ◽  
◽  
Jarred H Martin ◽  
Nazneen Firfirey ◽  
◽  
...  
Keyword(s):  
Mental Health ◽  
General Population ◽  
Alcohol Misuse ◽  
Local Population ◽  
Population Data ◽  
Health Conditions ◽  
Population Estimates ◽  
Mental Health Conditions ◽  
Scuba Divers ◽  
Recreational Scuba

(Van Wijk CH, Martin JH, Firfirey N. Common mental health conditions among navy divers: A brief report. Diving and Hyperbaric Medicine. 2020 December 20;50(4):417–420. doi: 10.28920/dhm50.4.417-420. PMID: 33325025.) Introduction: A recent article reported on common mental health conditions among recreational scuba divers, and observed that the prevalence mirrored national population figures. This raised the question of the extent to which this might also be the case among professional divers. No data on commercial divers could be located; this paper presents the situation among navy divers. Methods: Mental health survey data from 132 South African Navy divers were reviewed to describe the 12-month prevalence of common mood, anxiety, and alcohol misuse disorders. Results: Prevalence of common mood and anxiety conditions appeared to reflect local general population estimates, and the occurrence of alcohol misuse was higher than local population figures, although the usefulness of the population data could be challenged. Conclusions: It appeared that common mental health conditions in both sport and navy divers may generally conform to their respective local general population estimates. If this were to be the case in the broader professional diving environment as well, the inclusion of some form of formal mental health screening during commercial diving medical examinations may be beneficial.

Measuring Migration: Profiling Residential Mobility across Two Decades

2009 ◽  
Vol 3 (2) ◽  
pp. 24-38 ◽  
Author(s):  
Charles M. Tolbert ◽  
Troy C. Blanchard ◽  
Michael D. Irwin
Keyword(s):  
Residential Mobility ◽  
Internal Migration ◽  
Census Data ◽  
Local Population ◽  
Social Science Research ◽  
Temporal Stability ◽  
Logistic Models ◽  
Science Research ◽  
The United States ◽  
Market Area

The demography of a local population is a central aspect of applied social science research. Although birth and death rates influence a population, the key contributing factor influencing the demographics of a locality is almost always internal migration—the movement of persons between U.S. regions, states, and localities. Current definitions of internal migration used by the U.S. Census Bureau are limited because confidentiality restrictions require that detailed current and former place of residence geographic information be suppressed in publicly available files. In this paper we report the results of our work with confidential versions of the 1990 and 2000 decennial census microdata to develop an improved measurement of migration in order to develop a profile of internal migration in the United States. We perform our analysis for two contrasting time periods, 1985–1990 and 1995–2000. Our interest here is to assess the stability of the profile of migrants during a time period of economic contraction and expansion. Using confidential internal versions of the 1990 and 2000 Census long-form microdata, we estimate logistic models of the likelihood that individuals will migrate. The geographic detail in the internal Census data permits us to measure migration in ways that are not possible with public-domain Census data on persons. We develop migration definitions that distinguish between local residential mobility likely associated with life course transitions from migration out of the labor market area that may be driven more by employment and other socioeconomic considerations. Using logistic modeling, we find that the same individual attributes predict migration reasonably well during both periods. We also compute some illustrative probabilities of migration that show temporal stability in migration predictors could be lessened by certain changes in population composition.

Net migration estimates for Greece by age, sex and citizenship, 1991-2001

2008 ◽  
Vol 5 (2) ◽  
pp. 189-202
Author(s):  
Cleon Tsimbos
Keyword(s):  
Reproductive Age ◽  
Population Estimates ◽  
Demographic Analysis ◽  
Resident Population ◽  
Net Migration ◽  
Intercensal Period ◽  
Working Age ◽  
Official Data ◽  
Migration Component ◽  
Of Greece

This paper applies techniques of demographic analysis to official data of Greece to obtain net migration estimates by age, sex and citizenship for the intercensal period 1991-2001. It is found that the overall net immigration rate for the decade is 6.3 per 100 resident population and the contribution of foreign immigrants to this figure is 88.2 per cent. 85.4 % of the net immigrants are of working age and 70.3 % of net immigrant women are of reproductive age. The results of the study can be used to formulate assumptions regarding the migration component when handling population estimates and projections.

Small Areas in the Canadian Census

1969 ◽  
Vol 23 (2) ◽  
pp. 151-160 ◽  
Author(s):  
P. J. Hubert
Keyword(s):  
World War Ii ◽  
Census Data ◽  
World War ◽  
Census Division ◽  
Small Areas ◽  
Spatial Framework ◽  
Enumeration Area ◽  
Equivalent Area

The spatial framework for which the Census of Canada provides data has evolved, through successive censuses, to meet the need of users. Because of the changing nature of the electoral districts of the early censuses, a more permanent spatial framework, namely, the county, and an equivalent area called the census division, was introduced in the 1921 and 1931 censuses. After World War II, users of census data requested a smaller spatial framework. In. 1951 data were available at the municipality level and, in 1961, all census data taken on a 100 per cent basis were available at the enumeration area level. Currently, the ability to provide census data for user-specified areas is being developed through a geocoding system.

scholarly journals Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level

2021 ◽  
Vol 10 (6) ◽  
pp. 227
Author(s):  
Yago Martín ◽  
Zhenlong Li ◽  
Yue Ge ◽  
Xiao Huang
Keyword(s):  
Large Scale ◽  
Local Population ◽  
External Validation ◽  
Population Estimates ◽  
County Level ◽  
Internal Validation ◽  
Population Movements ◽  
Dynamic Component ◽  
Home Location ◽  
Non Local

The study of migrations and mobility has historically been severely limited by the absence of reliable data or the temporal sparsity of available data. Using geospatial digital trace data, the study of population movements can be much more precisely and dynamically measured. Our research seeks to develop a near real-time (one-day lag) Twitter census that gives a more temporally granular picture of local and non-local population at the county level. Internal validation reveals over 80% accuracy when compared with users’ self-reported home location. External validation results suggest these stocks correlate with available statistics of residents/non-residents at the county level and can accurately reflect regular (seasonal tourism) and non-regular events such as the Great American Solar Eclipse of 2017. The findings demonstrate that Twitter holds the potential to introduce the dynamic component often lacking in population estimates. This study could potentially benefit various fields such as demography, tourism, emergency management, and public health and create new opportunities for large-scale mobility analyses.

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