3 edition of Small area population projections for Wisconsin found in the catalog.
Small area population projections for Wisconsin
Douglas B. King
|Statement||by Douglas B. King, David G. Nichols and Richard J. Timm.|
|Series||Dept. of Natural Resources. Technical bulletin no. 59, Technical bulletin (Wisconsin. Dept. of Natural Resources) ;, no. 59.|
|Contributions||Nichols, David G., joint author., Timm, Richard J., joint author.|
|LC Classifications||SK463 .A27 no. 59, HB3525.W6 .A27 no. 59|
|The Physical Object|
|Pagination||8,  p.|
|Number of Pages||68|
|LC Control Number||73621894|
Wisconsin Blue Book – HIGHLIGHTS OF POPULATION AND VITAL STATISTICS IN WISCONSIN State and County Population — Wisconsin’s population was officially estimated to be 5,,, a% increase over the U.S. Census count of File Size: 1MB. hoods imputation methodology. For the last decade and a half, he has led RTI’s work in small-area estimation research, including the NSDUH team that develops annual small-area estimates for drug use, dependency, and treatment or treatment need for states and biannual estimates for substate areas.
The declining growth rate from Census estimates, however, was contrary to the population estimates produced by the state's Demographic Services Center. Those state figures, finalized in October, showed Wisconsin's Jan. 1, , population up by percent over , the highest percentage since Small Area Income and Poverty Estimates (SAIPE) A limited range of estimates for selected statistics on poverty and income for states, counties, and school districts, which combine data from administrative records, post-census population estimates, and the decennial census with direct estimates from the American Community Survey to provide.
The Regression Approach for Subcounty Population Forecasting. The familiar multiple regression models have been used in the production of population forecasts for more than 50 years (Schmitt , ).Although Stanbery () did not mention regression-based forecasts in his early “guide book” for population forecasting for small areas and communities, Pittenger Cited by: question is whether this approach is effective for small-area population forecast when compared to standard methodologies now in practice. The context for the study and the data come by examining population change at the Minor Civil Division (MCD) level in Wisconsin since A spatial lag model will be applied.
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Small area population projections for Wisconsin. Madison, Wisconsin: Department of Natural Resources, (OCoLC) Material Type: Government publication, State Small area population projections for Wisconsin book province government publication, Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Douglas B King; David G Nichols; Richard J Timm.
Wisconsin small-area baseline population projections. Madison, Wis.: Applied Population Laboratory, University of Wisconsin,  (OCoLC) Material Type: Government publication, State or province government publication: Document Type: Book: All Authors / Contributors: Paul R Voss; Balkrishna Damodar Kale.
Report: Wisconsin's Future Population: Projections for the State, Its Counties and Municipalities, Adobe PDF. State Age-Sex Population Projections including Broad Age Groups and Components of Change Microsoft Excel. State Age-Sex Pyramid, and Adobe PDF. County Age-Sex Population Projections, Microsoft Excel County Age-Sex.
Population Ages 60 and Older Ages 60 and Older % Ages 60 and Older Ages 65 and Older % Ages 65 and Older Source: Wisconsin Department of Administration Updated Population Projections for Counties by Age: - ; Vintage Prepared by Eric Grosso, Bureau of Aging and Disability Resources 8/ Population Ages 85 and Older.
Demographic Techniques: Small-area Estimates and Projections Population estimates and projections play a critical role in market analysis, facility planning, environmental planning, and the allocation of public and private funds. Estimates and projections for small areas, in particular, are used extensively in the public and private sectors,File Size: KB.
State Projections, - Wisconsin’s population in is projected to be nearly 6, a gain of more thanpeople, or 14 percent, from Each decade will be marked by specific demographic patterns: o – -Net migration, after being slightly negative in File Size: KB.
Population Projections Datasets A dataset is a file for public use to download for analysis in spreadsheet, statistical, or geographic information systems software. These files are designed for people interested in obtaining detailed data of the population projections for analytical purposes, and are available in CSV .csv) or Excel .xls) formats.
Small Area Estimates Program (SAEP) estimates are meant to provide a consistent set of small area population and housing data for statewide applications.
SAEP estimates are generated for census areas and other areas of statewide significance. National population estimates for Super Output Areas and experimental statistics for health geographies, electoral wards, Parliamentary constituencies, and National Parks in England and Wales.
Population estimates by output areas, electoral, health and other geographies, England and Wales: mid Released: 25 October population forecasts at subcounty levels to prepare for possible disasters in various scenarios (Cutter and Smith, ; Wood et al., ). There are many methods for small-area population forecasting purposes, including extrapolation projections (Armstrong, ), time-series models (Armstrong et al., ), postcensalFile Size: 1MB.
Refinements to small-area population projection models: Results of a test based on Wisconsin communities. Paper presented at the meeting of the Population Association of America, Boston. Google ScholarAuthor: Stanley K. Smith, Jeff Tayman, David A.
Swanson. The first Guide to State and Local Census Geography ( CPH-I) was issued in June as a joint venture between the US Census Bureau and the Association of Public Data Users (APDU). The book contained an overview of census geography and had information about key geographic concepts for each state as it related to the Census.
In fact, as the book describes, imperfect forecasts still provide considerable utility in presenting alternatives, promoting agendas, sounding warnings and providing a base for other projections. To this end, the book provides a unique service in not only describing how to make small-area projections, but what to do with by: With a population of 5, people, Wisconsin is the 20th most populous U.S.
state. Milwaukee is the most populated state with a population of overThe state capital of Madison comes in second in terms of population but falls significantly behind, with estimates putting the population at justinhabitants.
Green Bay is the only other city in the state. delivered by CCSR. If only population projections are requested, then the inputs and outputs referring to households can be ignored. For more detail of the methods used, see ‘small area projections - methods Junedoc’.
Small areas. The small areas will normally cover the whole of one local authority district in England, Wales or Scotland. The Department of Health Services, Division of Public Health, Office of Health Informatics, produces mid-year population estimates for the counties and state of Wisconsin by age and sex categories for non-Census years.
Estimates are used to calculate population-based health statistics. (Estimates for age and sex categories may not sum to totals shown due to rounding.). Wisconsin is home to five counties with a population be The least populous county in Wisconsin is Florence County with 4, residents representing a decline of % since the census.
Other small counties in Wisconsin include Menominee County (4,), Iron County (5,), Pepin County (7,), and Forest County (8,). For producing the un-calibrated small area population projections for Junecensus small area population counts were used as the base population.
For the rest of the years, calibrated small area population count projections were used as the base population. The birth rates and death rates are published by the. Small Area Demographic Projections: Methods Population and household projections for areas within a local authority district Ludi Simpson, January This document specifies the methods developed at the University of Manchester to project population and households for small areas within a local authority district of Britain.
Main points. London, the East of England and the South East regions are all projected to grow at a faster rate than England. London is projected to grow the fastest (%), followed by the East (%) and the South East (%) over the 10 year period to mid, compared with the projected growth for England of % over the same time period.
Abstract. The regression approach for small-area population forecasting is increasingly used in urban planning and emerging research in climate change and infrastructure systems in response to disasters because the regression approach can not only provide population projections but also estimate the relationships between population change and Cited by: 1.small area population projections.
2. The work carried out by GROS looked at how feasible it would be to provide demographic data at data zone level to users to run population projections for small areas using POPGROUP (or any other suitable software) and to identify the data that would be needed to give robust results.
3. A PAMS paper.Small Area Population Estimates are produced at data zone level (areas with approximatelyhousehold residents).
More information on data zone geography can be found on the Scottish Government website.