On the Road to 2020 Census Geographic Programs Update Oregon State Data Center Annual Meeting 11/29/2012

Transcription

1 On the Road to 2020 Census Geographic Programs Update Oregon State Data Center Annual Meeting 11/29/2012 Rick Campbell Geographer L.A. Regional Office (Based in Seattle) (206)

2 TOPICS Census on-line partner resources and data release schedules Census Geographic Support Initiative (GSS-I)

3 Redesigned Geo Web Site

4 TIGER Products 2012 now available Check this out! Prototype Cool!

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7 2010 Geographic Data Release Schedule Update January 2013 (-p now) Core- based Sta:s:cal Areas Update 2013

8 Remaining Data Releases for the 2010 Census DATA Date Geography American Indian & Alaska Na=ve Summary File Congressional District Summary File (113 th Congress) Characteris=cs of American Indians and Alaskan Na=ves by Tribe Report State Legisla=ve District Summary File / Legisla=ve District Geographic Supplement Public Use Microdata Sample (PUMS) Files Core- Based Sta=s=cal Areas (CBSAs) (refers to metropolitan and micropolitan sta=s=cal areas as defined by OMB) December 2012 January 2013 April 2013 June 2013 Tracts Tracts States Places / Blocks Dec 2012 April 2013 PUMAs of 100,000+ pop July 2013 Aug 2013 Principal Ci=es

9 American Community Survey Data Release Schedule Data Planned Release Date Data Collec:on Time Reference Lowest Level Geography 1 Year Data September ,000+ pop 3 Year Data October ,000+ pop 5 Year Data December Block Group (summary file data) Tracts (more detailed tables)

10 2020 Census Planning GEOGRAPHIC SUPPORT SYSTEMS INITIATIVE (GSS-I)

11 Census Geographic Support Major Initiatives Over Time For the 1990 Census Introduced TIGER For the 2000 Census Introduced the Master Address File For the 2010 Census conducted the MAF/TIGER Enhancement Program BAS Alert!!! For the 2020 Census The GSS Ini=a=ve

12 Major Components of Address List Development for the 2010 Census

13 What is the GSS Initiative? A logical next step, building upon: Accomplishments of the MAF/TIGER Enhancement Program (MTEP) MAF/TIGER Accuracy Improvement Project (MTAIP) Improved posi=onal accuracy of TIGER Contribu=ons of our partners GIS files & imagery between 2003 to 2008 for MTAIP 2010 Local Update of Census Addresses (LUCA) Program The recommenda=ons of our stakeholder and oversight communi=es

14 What is the GSS Ini:a:ve? Address Updates Quality Measurement Street/Feature Updates 123 Testdata Road Anytown, CA Lat 37 degrees, 9.6 minutes N Lon 119 degrees, 45.1 minutes W An integrated program consis=ng of: Improved address coverage Ongoing address and spa=al database updates Enhanced quality assessment and measurement

15 Why the GSS Initiative? Stakeholder and oversight recommenda=ons: The General Accountability Office, the Office of the Inspector General, and the Na=onal Academies of Science iden=fied as issues: The lack of a comprehensive geographic update program between censuses Associated nega9ve impact on ongoing programs such as the American Community Survey, other current surveys, and small areas es9mates programs

16 2010 Address Canvassing Facts Number of housing unit addresses that needed verification: 145 million Number of census workers hired for Address Canvassing: 140,000 Number of hand-held computers used: 151,000 Number of local census offices that managed operations: 151 Dates of operation: March 30 - Mid-July 2009

17 Goal: A Shift in Focus for the 2020 Census From a complete Address Canvassing to a targeted Address Canvassing Requires establishing an acceptable address list for each level of government 17

18 Why a Targeted Address Canvassing? $$$! It is VERY expensive Field an ARMY of address canvassers Walk EVERY street in the nation Goal: developing regular update and change detection processes Result: Target only areas with uncertainty Quality of Addresses Currency of Addresses Evaluation may occur at the Census Tract level

19 Goals of the GSS Ini:a:ve Address improvement: explore methodologies to achieve complete coverage and a current address list Feature improvement: ongoing update of the street network and acributes to improve the matching of addresses to their correct geography Quality improvement: broaden quality assessments and provide quan=ta=ve measures Improved Partnerships: strengthen exis=ng and develop new partnerships

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21 GSS-I Address Coverage Goals Complete and current address coverage Achieve :mely updates to meet currency needs of the American Community Survey (ACS) and current surveys Addi:onal emphasis on change detec:on Expanded address sources for MAF update, especially in areas without city- style addresses Simplify data sharing and minimize impact on local partners

22 GSS-I Feature Coverage Goals Ongoing street network and acribute updates Best available data from partners and commercial Imagery for change detec=on and source evalua=on

23 Quality Assurance Goals 1: Establish quan=ta=ve measures of address and spa=al data quality Exis=ng MAF/TIGER Data 2: Assign Quality Indicators to MAF/TIGER data Geographic products output from the MTDB 3: Monitor and Improve the quality of the: IT processes for upda=ng the MTDB

24 Improved Partnerships Enhanced collabora=on Expand Exis=ng Partnerships Engage New Partners Partners New and Enhanced Programs U=lize new tools and programs to acquire address and spa=al data in the most efficient and least intrusive ways Build on and Expand MTAIP Feedback for Spa=al Features Address Feedback TBD, but adhering to Title 13 confiden=ality laws Enhanced Feedback New Tools Community TIGER TIGER web Web- based Address Management Tools Data upload systems Volunteered Geographic Informa=on (VGI)

25 Who are the stakeholders? U.S. Census Bureau Other federal agencies (U.S. Postal Service, U.S. Geological Survey, Environmental Protection Agency) Tribal, State, County, and Local governments Commercial data providers National Advocacy Groups, such as NSGIC, URISA, NENA, and NAPSG YOU!

26 Partnerships are Key! Identifying authoritative sources for address and spatial data at various levels of government Expanding our Partnerships is Critical Key step towards establishing an accurate and up-to-date address list

27 Participation Benefits Improved address and feature coverage Support current survey samples, including the American Community Survey. More current data and improved process flows Minimize the impact of programs like LUCA Taxpayer savings A more accurate 2020 Census Evaluations, quality assessment & feedback may help improve local data sets.

28 Planned Schedule for FY13-14 October 2012 Kick off program with data from limited partners TBD) February 2013 Start providing feedback March 2013 Identify supplemental FY13 partners based on quality audit of MAF/TIGER data Make Community TIGER available for beta testing October 2013 Planning for open participation

29 What Kind of Address Data? City style addresses and/or Non city style addresses (i.e., Rural Route #) that ideally meet: 1. USPS minimum delivery requirements, and 2. the FGDC Address Standard (U.S. Thoroughfare, Landmark, and Postal Address Data Standard) See the Census Bureau Address Data Content Guidelines:

30 What Kind of Housing Unit Structure Data? Latitude/Longitude Coordinates for a Housing Unit structure or access point (i.e., from E 911 or Next Gen E 911 database) Structure centroids Latitude/Longitude Coordinates for a real property parcel or parcel centroid Other points used by partner? See the Census Bureau Address Data Content Guidelines:

31 What Kind of Street Feature Data? Street centerline geometry Street attributes names, address ranges, etc. Why? Expand Census centerline and attribute coverage Spatially correct misaligned streets in conjunction with high quality imagery Feature Data and Metadata Content Guidelines:

32 Summary Goals of the GSS initiative Ongoing update of the MAF/TIGER database Improve address coverage, feature coverage, and quality in the MAF/TIGER database Facilitate a targeted Address Canvassing operation for the 2020 Census Aligns with our commitment to provide high quality products and data

33 Questions? Rick Campbell Geographer L.A. Regional Office (Based in Seattle) (206)