School district planning and the 2010 decennial census: Data uses and needs

2006 ◽  
Vol 31 (3-4) ◽  
pp. 221-232 ◽  
Author(s):  
Jerome N. McKibben ◽  
David A. Swanson
Keyword(s):  
School District ◽  
Census Data ◽  
Decennial Census

scholarly journals LB20. Impact of School-Located Influenza Vaccination on Vaccination Coverage, School Absenteeism, and Influenza Hospitalization

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S766-S766
Author(s):  
Jade Benjamin-Chung
Keyword(s):  
School District ◽  
Influenza Vaccination ◽  
Vaccination Coverage ◽  
Census Data ◽  
Incidence Rates ◽  
Control School ◽  
School Absenteeism ◽  
California Department ◽  
Catchment Areas ◽  
The Impact

Abstract Background School-located influenza vaccination programs aim to increase influenza vaccination coverage and produce indirect effects by interrupting influenza transmission. We evaluated the impact of a program that delivered the inactivated influenza vaccine in 2016–2017 to elementary schools in a large, diverse urban school district in Oakland, California on vaccination coverage, school absenteeism, and influenza hospitalization. Methods We conducted a prospective cohort study and used pre-program data from the California Department of Education on school characteristics to identify a control school district with similar characteristics to the program district. We measured parent recall of student influenza vaccination in surveys in 2017 in 44 schools per district (N = 6,070). We obtained absence data from school districts and influenza hospitalization data for district catchment areas prior to and during the program. We used generalized linear models to estimate difference-in-differences (DIDs) in absence rates during influenza season adjusting for month, race, and grade to account for differences in pre-program rates. Standard errors accounted for school clusters. For influenza hospitalization, we estimated cumulative incidence rates using census data to obtain the population size and risk ratios (RR) using modified Poisson regression. Results Vaccination coverage was 56.7% in control schools and 63.9% in program schools (difference = 7.2%; 95% CI 3.6%, 10.8%). 24% of students in program schools were vaccinated at school. Absences per 100 days were 5.40 vs. 6.68 in program vs. control sites for all absences and 3.01 vs. 3.60 for illness-related absences; DIDs were statistically significant for illness absences. Among all ages, the risk ratio for influenza hospitalization in program vs. control districts was 0.65 (95% CI 0.55, 0.78) among all ages and 0.71 for adults 65 or older (95% CI 0.57, 0.89). Hospitalization was too rare among elementary aged students to estimate RRs in that group. Conclusion Elementary school-located influenza vaccination increased influenza vaccination and decreased school absence and influenza hospitalization. There was an indirect effect on hospitalization in the elderly and nonelementary aged groups. Disclosures All authors: No reported disclosures.

Bringing the Missing Million Home: Correcting the 1991 Small Area Statistics for Undercount

2002 ◽  
Vol 34 (6) ◽  
pp. 1021-1035 ◽  
Author(s):  
Richard Mitchell ◽  
Danny Dorling ◽  
David Martin ◽  
Ludi Simpson
Keyword(s):  
Small Area ◽  
Census Data ◽  
Decennial Census ◽  
Data Set ◽  
Web Based ◽  
Marginalised Groups ◽  
Small Area Statistics ◽  
Web Based System

The 1991 UK Decennial Census missed about 1.2 million people. These missing individuals present a serious challenge to any census user interested in measuring intercensal change, particularly amongst the most marginalised groups in society who were prominent amongst the missing population. Recently, a web-based system for accessing census data from the 1971, 1981, and 1991 censuses was launched ( www.census.ac.uk/cdu/lct ). The ‘LCT’ package also provides access to a set of 1991 small area statistics (SAS) which have been corrected to compensate for the missing million. The authors explain the methods used for adjusting the SAS counts, provide examples of the differences between analysis with the adjusted and unadjusted data, and recommend the use of the new data set to all those interested in intercensal change.

scholarly journals Differential privacy in the 2020 US census: what will it do? Quantifying the accuracy/privacy tradeoff

2019 ◽  
Vol 3 ◽  
pp. 1722 ◽  
Author(s):  
Samantha Petti ◽  
Abraham Flaxman
Keyword(s):  
Census Data ◽  
Differential Privacy ◽  
Simple Random Sampling ◽  
Computer Code ◽  
Census Bureau ◽  
Decennial Census ◽  
Empirical Measure ◽  
Simple Random Sample ◽  
Us Census ◽  
Privacy Budget

Background: The 2020 US Census will use a novel approach to disclosure avoidance to protect respondents’ data, called TopDown. This TopDown algorithm was applied to the 2018 end-to-end (E2E) test of the decennial census. The computer code used for this test as well as accompanying exposition has recently been released publicly by the Census Bureau. Methods: We used the available code and data to better understand the error introduced by the E2E disclosure avoidance system when Census Bureau applied it to 1940 census data and we developed an empirical measure of privacy loss to compare the error and privacy of the new approach to that of a simple-random-sampling approach to protecting privacy. Results: We found that the empirical privacy loss of TopDown is substantially smaller than the theoretical guarantee for all privacy loss budgets we examined. When run on the 1940 census data, TopDown with a privacy budget of 1.0 was similar in error and privacy loss to that of a simple random sample of 50% of the US population. When run with a privacy budget of 4.0, it was similar in error and privacy loss of a 90% sample. Conclusions: This work fits into the beginning of a discussion on how to best balance privacy and accuracy in decennial census data collection, and there is a need for continued discussion.

Housing Quality among the Elderly: A Decade of Changes

1998 ◽  
Vol 46 (1) ◽  
pp. 71-90 ◽  
Author(s):  
John P. Markham ◽  
John I. Gilderbloom
Keyword(s):  
Logistic Regression ◽  
Census Data ◽  
The Elderly ◽  
Reliable Data ◽  
Housing Quality ◽  
Living Alone ◽  
Decennial Census ◽  
Elderly Housing ◽  
Housing Needs ◽  
Comprehensive Study

Little research has been conducted on housing quality among the elderly. The fault lies partly with the lack of reliable data. Studies on elderly housing quality are spotty, anecdotal, and unsystematic. Many rely on decennial census data which provide a limited and unsatisfactory portrait of special housing needs of elders in general. This article seeks to fill this void by reporting a comprehensive study of elderly housing quality. For all units, logistic regression revealed that region and race are the most important predictors of housing inadequacy; tenure and the gender of the person living alone are moderately powerful influences upon inadequacy. Housing inadequacy is greater among blacks, in the South, for males living alone, and for renters.

scholarly journals Areal Interpolation Using Parcel and Census Data in Highly Developed Urban Environments

2019 ◽  
Vol 8 (7) ◽  
pp. 302
Author(s):  
XiaoHang Liu ◽  
Alexis Martinez
Keyword(s):  
Spatial Data ◽  
Census Data ◽  
Urban Environments ◽  
Population Characteristics ◽  
Decennial Census ◽  
Source Zone ◽  
Future Research ◽  
Black African ◽  
Population Count ◽  
Areal Interpolation

Areal interpolation is routinely used when spatial data are unavailable at desired geographical units. While many methods are available, few of them were developed specifically for and tested in highly developed urban cores. Even fewer studied subpopulation or population characteristics. This paper explores both issues using parcel map and decennial census data as ancillary information. Using census blocks as intermediate zones, the method first disaggregates source-zone data to intermediate zones, then disaggregates data to parcel level in intermediate zones intersecting target zones, and finally aggregates intermediate-zone and parcel-level estimates to obtain target-zone estimates. Compared to areal weighting and residential proportion, the proposed method is significantly more accurate. All three methods perform the best on population count, and worst on spatially clustered subpopulations such as black/African American population. Quotient variables are more difficult to interpolate than count variables. The research demonstrates the utility of parcel and decennial census data for areal interpolation in highly developed urban cores, and calls for future research on subpopulation and population characteristics.

scholarly journals Racial Segregation in the Southern Schools, School Districts, and Counties Where Districts Have Seceded

AERA Open ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 233285841986015 ◽  
Author(s):  
Kendra Taylor ◽  
Erica Frankenberg ◽  
Genevieve Siegel-Hawley
Keyword(s):  
School District ◽  
School Districts ◽  
Predominantly White ◽  
Residential Segregation ◽  
Census Data ◽  
Data Sets ◽  
School Students ◽  
New School ◽  
Public School Students ◽  
History Of

The establishment of new school districts in predominantly White municipalities in the South is restructuring school and housing segregation in impacted countywide school systems. This article compares the contribution of school district boundaries to school and residential segregation in the Southern counties that experienced secession since 2000. Merging together several data sets, including Common Core of Data, census data, and shapefiles at multiple geographic scales, we measure segregation of public school students and the entire population over time. We show that school district secession is restructuring school segregation in the counties where secession is occurring, with segregation increasingly occurring because students attend different school districts. Additionally, in the most recent year of analysis, residents were increasingly stratified by race in different school districts. Segregation patterns differ substantially, however, depending on the history of secession in the county.

Making decennial census data available

1985 ◽  
Vol 2 (4) ◽  
pp. 419-431
Author(s):  
Paul T. Zeisset
Keyword(s):  
Census Data ◽  
Decennial Census

scholarly journals Exploring Administrative Records Use for Race and Hispanic Origin Item Non-Response

2017 ◽  
Author(s):  
Sonya Rastogi ◽  
Leticia Fernandez ◽  
James Noon ◽  
Ellen Zapata ◽  
Renuka Bhaskar
Keyword(s):  
United States ◽  
Census Data ◽  
Demographic Data ◽  
The United States ◽  
Decennial Census ◽  
Imputation Methods ◽  
Administrative Records ◽  
Hispanic Origin ◽  
Missing Responses ◽  
Distributional Impact

Race and Hispanic origin data are required to produce official statistics in the United States. Data collected through the American Community Survey and decennial census address missing data through traditional imputation methods, often relying on information from neighbors. These methods work well if neighbors share similar characteristics, however, the shape and patterns of neighborhoods in the United States are changing. Administrative records may provide more accurate data compared to traditional imputation methods for missing race and Hispanic origin responses. This paper first describes the characteristics of persons with missing demographic data, then assesses the coverage of administrative records data for respondents who do not answer race and Hispanic origin questions in Census data. The paper also discusses the distributional impact of using administrative records race and Hispanic origin data to complete missing responses in a decennial census or survey context.

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