scholarly journals Applications of Population Counts Based on Administrative Data at Local Level

2011 ◽  
Vol 5 (3) ◽  
pp. 183-209 ◽  
Author(s):  
Gillian Harper ◽  
Les Mayhew
Keyword(s):  
Administrative Data ◽  
Local Level ◽  
Population Counts

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 Creating the Framework for Cross-Sector Health Analysis for Local Communities

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Heather Richards ◽  
Kim Varas ◽  
Samantha Magnus ◽  
Jinhwa Oh ◽  
Christine Voggenreiter
Keyword(s):  
Health Services ◽  
Health System ◽  
First Nations ◽  
Administrative Data ◽  
Health Authority ◽  
Access To Health Care ◽  
Local Level ◽  
Health Administrative Data ◽  
Urban Rural ◽  
Statistics Canada

IntroductionA newly developed BC Ministry of Health geography classification has enabled a standardized approach for community-level analysis of health needs and service provision. An innovative methodology was developed and applied to health administrative data, creating more opportunities to identify variations in health status and utilization across the health system. Objectives and ApproachTwo design principles informed the development of the new geographies. Firstly, they reflect where people live and the communities with which they identify, and secondly, they will assist with identifying where health services are needed for local populations. The objective was to provide the Ministry and health authorities with a framework to identify and work towards providing the optimal delivery of services at the local level. A working group was established for this project and included representatives from the Ministry, each regional health authority, Provincial Health Services Authority, First Nations Health Authority, and BC Stats. ResultsThe building block for the geography classification is the Census Dissemination Block, the lowest unit of geography available in the Standard Geography Classification maintained by Statistics Canada. The geographies were assigned urban-rural designations based on an algorithm that considered the presence of a population centre, the size of the population centre, and the proportion of the population living in it, among other aspects. One of the main goals of the urban-rural designations was to provide meaningful peer groups for cross-jurisdictional studies. The project also reengineered the methods to geocode addresses to improve accuracy to use street addresses (over past method that used postal codes) so that assignment to Census Dissemination Block would be precise. The end result was 218 community geographies with urban-rural designations. Conclusion/ImplicationsThis geography standard allows health system stakeholders to better understand of geographic variation in utilization and access to health care. The ability to link and share information to profile community health between health administrative data and Census data available from Statistics Canada is better due to improved geocoding of addresses.

Use and Perceptions of the Availability of Local Government and Nonprofit Services in Diverse Urban Settings

2019 ◽  
Vol 48 (5) ◽  
pp. 975-997
Author(s):  
Khaldoun AbouAssi ◽  
Lewis Faulk ◽  
Long Tran ◽  
Lilli Shaffer ◽  
Minjung Kim
Keyword(s):  
Local Government ◽  
Administrative Data ◽  
Local Level ◽  
Community Level ◽  
Demand Side ◽  
Individual Level ◽  
Government Services ◽  
Nonprofit Theory ◽  
Perceived Access ◽  
The Relationship

This analysis tests fundamental nonprofit theory using individual-level demand-side data, which complements existing studies that have relied on organizational- and community-level variables alone. We use survey and administrative data to test the relationship between individuals’ perceptions and use of local government services and their reported use of nonprofit services, controlling for the density of organizations around respondents’ addresses. Individuals who report being better served by government services are significantly more likely to report using nonprofit services—while individuals who report being unserved by government are also less likely to report access to nonprofits, despite the actual density of organizations around them. These findings support theories of interdependence between government and nonprofit sectors. However, income-based disparities in perceived access to nonprofit services highlight persistent gaps in serving all individuals on the local level.

scholarly journals Statistical Population Register: using administrative in the Canadian Census

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Sylvain Cloutier
Keyword(s):  
Administrative Data ◽  
Future Research ◽  
Efficient Production ◽  
Population Register ◽  
Statistical Population ◽  
Future Research Agenda ◽  
The Future ◽  
Statistics Canada ◽  
High Level ◽  
Population Counts

IntroductionFor a number of years, Statistics Canada has been evaluating the potential of increasing its use of administrative data into its Census Program. The research conducted so far has revealed that it could be possible to produce the census population counts by using existing administrative data. Objectives and ApproachThe building of the Statistical Population Register (SPR) is one step towards achieving the use of administrative data into the Canadian Census Program. In addition, the SPR, in combination with the Business Register and the Statistical Building Register, would support a more efficient production of statistics via a multi-register-based system in the future. The SPR is created by linking numerous administrative data sources (federal, provincial, municipal and private). The in-scope Canadian population is then identified and extracted from the SPR. ResultsThe presentation will focus on the reasons as well as the goals that had to be met in the initial research project in order to demonstrate the potential of using administrative data within the Census Program. The current state of the project will be highlighted by presenting high-level results at the Canadian, provincial and territorial levels. This is accomplished by comparing the Statistical Population Register’s in-scope population to its reference, Statistics Canada’s official population counts. Conclusion/ImplicationsDespite promising results, areas of improvements have already been identified and work is under way in order to improve the quality of the upcoming Statistical Population Register. The final section of the presentation will be devoted to the future research agenda of the Census Program.

Do You Want to See the Tree? Ignore the Forest

2014 ◽  
Vol 61 (3) ◽  
pp. 205-214 ◽  
Author(s):  
Nicolas Poirel ◽  
Claire Sara Krakowski ◽  
Sabrina Sayah ◽  
Arlette Pineau ◽  
Olivier Houdé ◽  
...  
Keyword(s):  
Visual Recognition ◽  
Local Level ◽  
Local Information ◽  
Visual Environment ◽  
Global Information ◽  
Focus Attention ◽  
Global Level ◽  
Hierarchical Stimuli ◽  
Priming Paradigm ◽  
The One

The visual environment consists of global structures (e.g., a forest) made up of local parts (e.g., trees). When compound stimuli are presented (e.g., large global letters composed of arrangements of small local letters), the global unattended information slows responses to local targets. Using a negative priming paradigm, we investigated whether inhibition is required to process hierarchical stimuli when information at the local level is in conflict with the one at the global level. The results show that when local and global information is in conflict, global information must be inhibited to process local information, but that the reverse is not true. This finding has potential direct implications for brain models of visual recognition, by suggesting that when local information is conflicting with global information, inhibitory control reduces feedback activity from global information (e.g., inhibits the forest) which allows the visual system to process local information (e.g., to focus attention on a particular tree).

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