2019 TIGER/Line Shapefiles Technical Documentation
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811D Ecollomic Statistics Adrllillistra!Tioll
811d Ecollomic Statistics Adrllillistra!tioll BUREAU THE CENSUS • I n i • I Charles G. Langham Issued 1973 U.S. D OF COM ERCE Frederick B. Dent. Secretary Social Economic Statistics Edward D. Administrator BU OF THE CENSUS Vincent P. Barabba, Acting Director Vincent Director Associate Director for Economic Associate Director for Statistical Standards and 11/1",1"\"/1,, DATA USER SERVICES OFFICE Robert B. Chief ACKNOWLEDGMENTS This report was in the Data User Services Office Charles G. direction of Chief, Review and many persons the Bureau. Library of Congress Card No.: 13-600143 SUGGESTED CiTATION U.S. Bureau of the Census. The Economic Censuses of the United by Charles G. longham. Working Paper D.C., U.S. Government Printing Office, 1B13 For sale by Publication Oistribution Section. Social and Economic Statistics Administration, Washington, D.C. 20233. Price 50 cents. N Page Economic Censuses in the 19th Century . 1 The First "Economic Censuses" . 1 Economic Censuses Discontinued, Resumed, and Augmented . 1 Improvements in the 1850 Census . 2 The "Kennedy Report" and the Civil War . • . 3 Economic Censuses and the Industrial Revolution. 4 Economic Censuses Adjust to the Times: The Censuses of 1880, 1890, and 1900 .........................•.. , . 4 Economic Censuses in the 20th Century . 8 Enumerations on Specialized Economic Topics, 1902 to 1937 . 8 Censuses of Manufacturing and Mineral Industries, 1905 to 1920. 8 Wartime Data Needs and Biennial Censuses of Manufactures. 9 Economic Censuses and the Great Depression. 10 The War and Postwar Developments: Economic Censuses Discontinued, Resumed, and Rescheduled. 13 The 1954 Budget Crisis. 15 Postwar Developments in Economic Census Taking: The Computer, and" Administrative Records" . -
Illinois Statewide Travel Demand Model BEST PRACTICES for STATEWIDE MODEL DEVELOPMENT in COLLABORATION with LOCHMUELLER GROUP and CDM SMITH
Illinois Statewide Travel Demand Model BEST PRACTICES FOR STATEWIDE MODEL DEVELOPMENT IN COLLABORATION WITH LOCHMUELLER GROUP AND CDM SMITH PARAG GUPTA | UP 598: MUP CAPSTONE | MAY 10, 2019 Table of Contents Section 1 Introduction ..................................................................................................... 1-1 Section 2 Network Development .................................................................................... 2-1 2.1 Inside Illinois ................................................................................................................................................................. 2-1 2.1.1 Geography ..............................................................................................................................................................2-1 2.1.2 Centroid Connectors ................................................................................................................................... 2-1 2.1.3 -State Roadway Attributes ....................................................................................................................... 2-3 2.1.4 Traffic Counts .................................................................................................................................................. 2-7 2.1.4.1 Data Sources ...................................................................................................................................... 2-7 2.4.1.2 1.2 Traffic Count Development Methodology ................................................................. -
Functional Status Codes and Definitions
Functional Status Functional Status Code Description Associated Geographic Entity Code Consolidated City, County or Equivalent Feature, County Subdivision, Economic Active government providing primary A Census Place, Incorporated Place, general-purpose functions Nation, State or Equivalent Feature, Tribal Subdivision Active entity (federally recognized entities American Indian/Alaska Native/Native A only) Hawaiian Area Active government that is partially County or Equivalent Feature, County consolidated with another government B Subdivision, Economic Census Place, but with separate officials providing Incorporated Place primary general-purpose functions Active government consolidated with County or Equivalent Feature, County C another government with a single set of Subdivision, Economic Census Place officials Elementary School District, Secondary Active government providing special- School District, Special School E purpose functions Administrative Area, Special-Purpose District, Unified School District American Indian/Alaska Native/Native Hawaiian Area, County or Equivalent Feature, County Subdivision, Economic Census Place, Elementary School Fictitious Entity created to fill the Census F District, Incorporated Place, Secondary Bureau's geographic hierarchy School District, State Legislative District (Lower Chamber), State Legislative District (Upper Chamber), Unified School District, Voting District Active government that is subordinate to G County Subdivision another unit of govt. County Subdivision, Elementary School Inactive governmental -
2010 CENSUS): Miami-Dade County, FL 79.956505W LEGEND
26.047470N 26.022636N 80.972037W P.L. 94-171 COUNTY BLOCK MAP (2010 CENSUS): Miami-Dade County, FL 79.956505W LEGEND B SYMBOL DESCRIPTION SYMBOL LABEL STYLE R COLLIER 021 Hollywood Hollywood O 27 CCD W Pembroke Pines Federal American Indian 441 West Park A 95 Reservation L'ANSE RES 1880 R BROWARD 011 D MICCOSUKEE RES Southwest Ranches 75 Off-Reservation Trust Land, 0 75 1 Conservation CCD 27 T1880 1 1 2 3 4 Hallandale 5 Hawaiian Home Land Beach Hallandale Beach CCD Oklahoma Tribal Statistical Area, Miramar-Pembroke Pines CCD Alaska Native Village Statistical Area, KAW OTSA 5340 441 Golden Beach 26250 Tribal Designated Statistical Area Miramar BROWARD 011 Ives Estates 34400 American Indian Tribal Subdivision EAGLE NEST DIST 200 27 Pembroke Park MIAMI-DADE 086 North Miami Beach 49475 Sunny Isles Beach 69555 Ojus 51125 Miami Gardens CCD 92175 State American Indian Tama Res 4125 Miami Gardens 45060 Reservation Country State Designated Tribal 95 Lumbee STSA 9815 6 7 8 9 10 11 12 13 A 14 15 Club 16 17 18 19 Statistical Area 14895 826 441 Aventura 02681 Alaska Native Regional B Corporation NANA ANRC 52120 75 Golden Palm Springs North 54500 State (or statistically 75 Glades NEW YORK 36 Miami Lakes 26375 equivalent entity) Everglades CCD Coast Guard Air Station Miami Bal Harbour 03275 45100 County (or statistically Hialeah CCD 91482 Bay Harbor Islands 03975 equivalent entity) ERIE 029 Hialeah Gardens 30025 Opa-locka 51650 Biscayne Park 06600 Minor Civil Division C D (MCD)1 Bristol town 07485 20 21 22 23 24 25 26 27 28 29 30 31 32 33 Surfside 70075 -
2020 Census Barriers, Attitudes, and Motivators Study Survey Report
2020 Census Barriers, Attitudes, and Motivators Study Survey Report A New Design for the 21st Century January 24, 2019 Version 2.0 Prepared by Kyley McGeeney, Brian Kriz, Shawnna Mullenax, Laura Kail, Gina Walejko, Monica Vines, Nancy Bates, and Yazmín García Trejo 2020 Census Research | 2020 CBAMS Survey Report Page intentionally left blank. ii 2020 Census Research | 2020 CBAMS Survey Report Table of Contents List of Tables ................................................................................................................................... iv List of Figures .................................................................................................................................. iv Executive Summary ......................................................................................................................... 1 Introduction ............................................................................................................................. 3 Background .............................................................................................................................. 5 CBAMS I ......................................................................................................................................... 5 CBAMS II ........................................................................................................................................ 6 2020 CBAMS Survey Climate ........................................................................................................ -
Glossary of Redistricting Terms
Glossary of Redistricting Terms Apportionment or Reapportionment Following each decennial census, seats in the United States House of Representatives are apportioned to each state based on population figures derived from the census. Apportionment is the process of determining how many Congressional Districts to allocate to each state, and is different from ‘redistricting,’ which involves redrawing district lines within a state. At-large An election in which candidates run in all parts of a jurisdiction rather than from districts or wards within the jurisdiction. All members of EVIT’s Board of Governors are elected from specific districts within EVIT’s boundary. There are no at-large election contests. Census Block The smallest level of census geography used by the Census Bureau to collect and report census data. Census Blocks are labeled with a four digit number such as 2025 or 1006A. Census Block Group A group of Census Blocks all having the same first block digit. Block 2025 is in Block Group 2. There are 1,023 whole or partial Block Groups within EVIT’s jurisdiction. The latest available population data for this redistricting process is at the Block Group level. Census data Information and statistics on the population of the United States gathered by the Census Bureau and released to the public. Census Tract A level of census geography larger than a census block or census block group that often corresponds to neighborhood boundaries. There are 385 whole or partial Census Tracts within EVIT’s boundary – too few for our purpose in redistricting. Community of interest An area that is defined by residents’ shared demographics or by common threads of social, economic, or political interests such that the area may benefit from common representation. -
Census Bureau Geographic Entities and Concepts
Census Bureau Geographic Entities and Concepts Presented by Mike Ratcliffe [email protected] 1 Census Geographic Concepts Legal/Administrative Statistical Areas Areas Examples: Examples: •Census county divisions •States •Census designated places •Counties •Census tracts •Minor civil divisions •Metropolitan and •Incorporated places micropolitan statistical areas •Congressional districts •Urban areas •Legislative areas •Public Use Microdata Areas •School districts •Traffic Analysis Zones 2 Hierarchy of Census Geographic Entities 3 Hierarchy of American Indian, Alaska Native, and Hawaiian Entities 4 5 Hierarchy: State File Summary Levels State County County Subdivision Place (or place part) Census tract Block group Block 6 Blocks • Smallest units of data tabulation—decennial census only, but used by ACS for sample design • Cover the entire nation • Form “building blocks” for all other tabulation geographic areas • Generally bounded by visible features and legal boundaries • 4-digit block numbers completely change from census to census 7 Block Groups • Groups of blocks sharing the same first digit • Smallest areas for which sample (decennial census “long form” as well as ACS) data are available • Size: optimally 1,500 people; range between 300 to 3,000 • Proposed change in minimum threshold to 1,200 people/480 housing units 8 Census Tracts • Small, relatively permanent statistical subdivisions of a county or a statistically equivalent entity. • Increased importance over time for data analysis. • Will be used to present ACS data as well as decennial census data. • Relatively consistent boundaries over time • Size: optimally 4,000 people; range between 1,000 and 8,000 • Proposed change in minimum threshold to 1,200 people • Approximately 65,000 census tracts in U.S. -
Development of Traffic Safety Zones and Integrating Macroscopic and Microscopic Safety Data Analytics for Novel Hot Zone Identification
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2014 Development of Traffic Safety Zones and Integrating Macroscopic and Microscopic Safety Data Analytics for Novel Hot Zone Identification JaeYoung Lee University of Central Florida Part of the Civil Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Lee, JaeYoung, "Development of Traffic Safety Zones and Integrating Macroscopic and Microscopic Safety Data Analytics for Novel Hot Zone Identification" (2014). Electronic Theses and Dissertations, 2004-2019. 4619. https://stars.library.ucf.edu/etd/4619 DEVELOPMENT OF TRAFFIC SAFETY ZONES AND INTEGRATING MACROSCOPIC AND MICROSCOPIC SAFETY DATA ANALYTICS FOR NOVEL HOT ZONE IDENTIFICATION by JAEYOUNG LEE B. Eng. Ajou University, Korea, 2007 M.S. Ajou University, Korea, 2009 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Civil, Environmental and Construction Engineering in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Spring Term 2014 Major Professor: Mohamed Abdel-Aty © 2014 JAEYOUNG LEE ii ABSTRACT Traffic safety has been considered one of the most important issues in the transportation field. With consistent efforts of transportation engineers, Federal, State and local government officials, both fatalities and fatality rates from road traffic crashes in the United States have steadily declined from 2006 to 2011.Nevertheless, fatalities from traffic crashes slightly increased in 2012 (NHTSA, 2013). -
THE CENSUS in U.S. HISTORY Library of Congress of Library
Bill of Rights Constitutional Rights in Action Foundation FALL 2019 Volume 35 No1 THE CENSUS IN U.S. HISTORY Library of Congress of Library A census taker talks to a group of women, men, and children in 1870. The Constitution requires that a census be taken every ten After the 1910 census, the House set the total num- years. This means counting all persons, citizens and ber of House seats at 435. Since then, when Congress noncitizens alike, in the United States. In addition to reapportions itself after each census, those states gain- conducting a population count, the census has evolved to collect massive amounts of information on the growth and ing population may pick up more seats in the House at development of the nation. the expense of states declining in population that have to lose seats. Why Do We Have a Census? Who is counted in apportioning seats in the House? The original purpose of the census was to determine The Constitution originally included “the whole Number the number of representatives each state is entitled to in of free persons” plus indentured servants but excluded the U.S. House of Representatives. The apportionment “Indians not taxed.” What about slaves? The North and (distribution) of seats in the House depends on the pop- South argued about this at the Constitutional Conven- ulation of each state. Every state is guaranteed at least tion, finally agreeing to the three-fifths compromise. one seat. Slaves would be counted in each census, but only three- After the first census in 1790, the House decided a fifths of the count would be included in a state’s popu- state was allowed one representative for each approxi- lation for the purpose of House apportionment. -
Survey Nonresponse Bias and the Coronavirus Pandemic∗
Coronavirus Infects Surveys, Too: Survey Nonresponse Bias and the Coronavirus Pandemic∗ Jonathan Rothbaum U.S. Census Bureau† Adam Bee U.S. Census Bureau‡ May 3, 2021 Abstract Nonresponse rates have been increasing in household surveys over time, increasing the potential of nonresponse bias. We make two contributions to the literature on nonresponse bias. First, we expand the set of data sources used. We use information returns filings (such as W-2's and 1099 forms) to identify individuals in respondent and nonrespondent households in the Current Population Survey Annual Social and Eco- nomic Supplement (CPS ASEC). We link those individuals to income, demographic, and socioeconomic information available in administrative data and prior surveys and the decennial census. We show that survey nonresponse was unique during the pan- demic | nonresponse increased substantially and was more strongly associated with income than in prior years. Response patterns changed by education, Hispanic origin, and citizenship and nativity. Second, We adjust for nonrandom nonresponse using entropy balance weights { a computationally efficient method of adjusting weights to match to a high-dimensional vector of moment constraints. In the 2020 CPS ASEC, nonresponse biased income estimates up substantially, whereas in other years, we do not find evidence of nonresponse bias in income or poverty statistics. With the sur- vey weights, real median household income was $68,700 in 2019, up 6.8 percent from 2018. After adjusting for nonresponse bias during the pandemic, we estimate that real median household income in 2019 was 2.8 percent lower than the survey estimate at $66,790. ∗This report is released to inform interested parties of ongoing research and to encourage discussion. -
Ministry of Internal Affairs and Communications
Ministry of Internal Affairs and Communications Minister’s Secretariat (Organization) Secretarial Division General Affairs Division Accounts Division Policy Planning Division Policy Evaluation and Public Relations Division (Functions) In the Minister’s Secretariat,the Secretarial,the General Affairs,the Accounts,the Policy Planning,and the Policy Evaluation and Public Relations Divisions carry out general coordination of business among dif- ferent bureaus and divisions to ensure smooth operation of the clerical work under the jurisdiction of the Ministry of Internal Affairs and Communications. Personnel and Pension Bureau (Organization) General Affairs Division Personnel Policy Division Aged Personnel Policy Division Pension Planning Division Pension Examination Division Pension Execution Division Counselor (5) (Functions) The Personnel and Pension Bureau is in charge of the following affairs: (i) researching,drafting and planning of the system of national public servants. (ii) assisting the Prime Minister as the Central Personnel Agency provided in the Chapter II of the National Public Service Act (Law No.120 of 1947) on the matters under its jurisdiction. (iii) matters concerning the retirement allowance of national public employeesservants. (iv) matters concerning the remuneration system for national public servants in the special service. (v) in addition to those listed in the preceding items,matters relating to the personnel administration of national public servants (except those under the jurisdiction of other administrative organs). (vi) researching,drafting and planning with regard to the pension system. (vii) matters of decisions on pension eligibility,and those concerning payments and burdens of pensions. Administrative Management Bureau (Organization) Planning and Coordination Division Government Information Systems Planning Division Director for Management (8) (Functions) The Administrative Management Bureau is in charge of the following affairs: (i) planning of fundamental matters concerning administrative systems in general. -
Zipcoder: Data & Functions for Working with US ZIP Codes
Package ‘zipcodeR’ September 22, 2021 Title Data & Functions for Working with US ZIP Codes Version 0.3.3 Description Make working with ZIP codes in R painless with an inte- grated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, includ- ing state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data, geocoding & distance calculations. License GPL-3 URL https://github.com/gavinrozzi/zipcodeR/, https://www.gavinrozzi.com/project/zipcoder/ BugReports https://github.com/gavinrozzi/zipcodeR/issues/ Encoding UTF-8 LazyData true RoxygenNote 7.1.2 Imports rlang, stringr, raster, tidycensus, tidyr, dplyr, jsonlite, httr, curl, RSQLite, DBI Depends R (>= 3.5.0) Suggests knitr, rmarkdown, markdown, readr, testthat (>= 3.0.0), covr VignetteBuilder knitr, rmarkdown Config/testthat/edition 3 NeedsCompilation no Author Gavin Rozzi [aut, cre] (<https://orcid.org/0000-0002-9969-8175>) Maintainer Gavin Rozzi <[email protected]> Repository CRAN Date/Publication 2021-09-22 04:30:02 UTC 1 2 download_zip_data R topics documented: download_zip_data . .2 geocode_zip . .3 get_cd . .3 get_tracts . .4 is_zcta . .4 normalize_zip . .5 reverse_zipcode . .5 search_cd . .6 search_city . .6 search_county . .7 search_fips . .8 search_radius . .8 search_state . .9 search_tz . 10 zcta_crosswalk . 10 zip_code_db . 11 zip_distance . 12 zip_to_cd . 12 Index 14 download_zip_data Download updated data files needed for library functionality to the package’s data directory. To be