SlideShare a Scribd company logo
1 of 21
Census Data
          Basics
An Informational Session Presented for:
Nebraska Library Commission Webinar

March 7, 2012

David Drozd, Center for Public Affairs Research, UNO
CB 108 402-554-2132           ddrozd@unomaha.edu
www.unomaha.edu/cpar
Terminology & Definitions
               Decennial Census: headcount taken every 10 years; mandated
                by Constitution for equal representation
               Short form: basic decennial Census questionnaire sent to most
                households in 2000 and all households in 2010; records simple
                demographics like age, gender, race, housing tenure (own/rent)
               Long form: detailed decennial Census questionnaire sent to a
                sample of households in the 2000 Census but not used in the
                2010 Census; recorded socio-economic and detailed housing
                data
               American Community Survey (ACS): annual sample survey –
                provides current data; similar to long form (replaced it) – allowed
                2010 Census to be short form only (simply a headcount)
                    Items like marital status, education attainment, income/poverty

                                                                                   2
Nebraska State Data Center – CPAR @ UNO
Geography
                Size continuum: large to small & small to large
                Legal/Administrative vs. Census/Statistical
                     Nation—State—County—City—Township
                     Block—Block Group—Census Tract—PUMA—Zip
                      Code—Metro Area (MSA)—Division—Region




                                                                   3
Nebraska State Data Center – CPAR @ UNO
4
5
6
Geography VS. Data (A Duel)
                There is always a tradeoff between available
                 information and the geography for which it is
                 available
                     Can be due to confidentiality restraints
                     More specific information may require expanding to
                      a larger geography
                          Even if the data is provided, you must ask whether the
                           data is “reliable” for that geography?
                          Are the figures based on a small number of cases where
                           the sampling error could be large?
                                Sampling error shows how different the figures could be
                                 if different households/people were included in the
                                 sample.
                                                                                           7
Nebraska State Data Center – CPAR @ UNO
The American Community Survey:
                         What is it?
                Nationwide written/mail survey conducted by
                 the U.S. Census Bureau
                      Sent to a sample of households, not all
                       households
                Similar to the sample portion of the decennial
                 (10 year) census but is completed every year
                      Gives us more current information: annual data
                       rather than 10 year intervals between data
                       releases
                      Provides data on the same Census topic areas
                      Replaces “long form” of decennial census; 2010
                       Census primarily a population count
                      The “future” of socio-economic Census data       8
Nebraska State Data Center – CPAR @ UNO
ACS New Subject Areas:
                Food stamp recipiency of households
                Fertility (women age 15-50 giving birth in the last year)
                      Note: These items were not asked on Census 2000 but have been
                       asked since early-on in the ACS
                Health Insurance Coverage and Marital History added in 2008
                Field of Bachelor’s Degrees added in 2009

                 See survey questionnaire for exact question wording.
                 - Questionnaire is at: http://www.census.gov/acs/www/

                 KEY POINT: Remember that the goal of the ACS is not to
                 make exact counts of the population or an item like the
                 number of births (other sources for that), but to provide
                 information on the characteristics of the population or those
                 giving birth (poverty status, labor force status) – information
                 you can’t find elsewhere!
                                                                                       9
Nebraska State Data Center – CPAR @ UNO
ACS Data Release Schedule
                    (full implementation in 2005)

             Type of       Population of    Previous Year's Data Released in the Fall of:
             Data          Area            2006   2007     2008     2009    2010     2011

             Annual
                           65,000+
             Estimate

             3-year
                       20,000+
             aggregate

                       Under 20,000;
             5-year
                       Census Tracts,
             aggregate
                       Zip Codes

             We had to wait for data for smaller areas, but now we will
             get data updated annually (using a rolling timeframe from
             one year to the next: 2005-2009 then 2006-2010).
                                                                                            10
Nebraska State Data Center – CPAR @ UNO
Multi-year Aggregate
                            Estimates: Advantages
                The aggregates provide data for more geographies
                           Annual data for NE: 3 counties (Douglas, Lancaster, Sarpy)
                           3-yr aggregate: 16 counties
                           5-yr aggregate: all 93 counties
                For areas that get annual data, the aggregates
                 based on more completed questionnaires (a higher
                 “N”—the number of surveys) so it will be more
                 accurate and have smaller margins of error (MOE)
                      Especially important for sub-groups—data by race, age
                      Will help reduce variability in year-to-year figures
                      Some FactFinder tables are prepared but not released
                       annually because of inaccuracy concerns—some of
                       those tables will now have data released
                                                                                     11
Nebraska State Data Center – CPAR @ UNO
Data Questions to Ask
                What would I like to have ideally?
                      Exact data items (variables)
                      Geography
                      Timeframe
                What source do I use to get that – Census
                 (decennial), ACS, or Intercensal Estimates Program
                Is that data available? Is it accurate or have large
                 error factors?
                      If not, what are my best tradeoffs?
                           Is it more important to have that exact geography or can I use a larger
                            one as a proxy? (Douglas County census tract 12 versus 68110 zip)
                           Do I want the most current data or can I extend to a longer timeframe
                            (to increase accuracy or availability)? (2010 versus 2008-10)
                                 Any item split by age or race should use 3-yr unless geography is
                                  sufficiently large (State level might not be large enough)
                                                                                                 12
Nebraska State Data Center – CPAR @ UNO
End of Official Presentation

             Remaining slides are for reference only




                                                       13
Nebraska State Data Center – CPAR @ UNO
ACS Subject Areas:
                          #1 Demographic (DP-1)

                Population and Housing Unit Totals
                Sex
                Age
                Race
                Ethnicity (Hispanic origin)
                   These are tied or weighted to the data
                   coming from the Census Estimates
                   Program – that, or the 2010 Census, is
                   the official source for “count” data
                   (totals, age, sex, race), not the ACS

                                                            14
Nebraska State Data Center – CPAR @ UNO
ACS Subject Areas:
                                 #2 Social (DP-2)
                Household type, size, and relationships
                School enrollment and educational attainment
                Marital Status
                Fertility (women ages 15-50 who have given
                 birth in the past 12 months)
                      Item not asked on Census 2000
                Disability Status
                Mobility (residence change from 1 year ago)
                Place of birth, ancestry, citizenship status
                Language(s) spoken and English “how well”
                                                                15
Nebraska State Data Center – CPAR @ UNO
ACS Subject Areas:
                              #3 Economic (DP-3)
                Employment/Unemployment
                Commuting to Work
                Occupation, Industry
                Class of worker
                      (Government, self-employed, etc.)
                Income and sources
                Poverty
                Food stamp recipiency of households
                      Item not asked on Census 2000
                Health Insurance Coverage
                                                           16
Nebraska State Data Center – CPAR @ UNO
ACS Subject Areas:
                                #4 Housing (DP-4)
                Housing tenure (owning vs. renting)
                Number of units in structure
                Year structure built, Year moved into
                Rooms, Occupants per room
                House characteristics
                Vehicles available
                Home Value (self-reported)
                Mortgage status, amount, and burden
                Rental status, amount, and burden
             Use the comparison profiles on the web: www.census.gov
                                                                17
Nebraska State Data Center – CPAR @ UNO
ACS History and Timeline
                Development began in the mid 1990s.
                Data first collected in 1996 at 4 test sites. In 1997 there
                 were 8 test sites including Douglas County, NE.
                Expanded to 31 test sites in 36 counties in 1999 for
                 comparison to Census 2000.
                In 2002, the sample included 1,203 counties to provide
                 accurate state data. Data released for areas with
                 250,000 people (Lancaster County).
                Survey fully implemented (all counties) in January 2005.
                Sampling of Group Quarters began in January 2006.
                  Note: All past and future ACS products and sampling rates
                  were/are subject to funding levels approved or adjusted
                  by Congress and the Commerce Dept.
                                                                          18
Nebraska State Data Center – CPAR @ UNO
Nebraska ACS Data:
                              Current Time Series
                Omaha city and Douglas County (test site):
                       1997-2010
                Lancaster County (250,000 people):
                       2002-2010
                Nebraska (state):
                       2000-2010
                Other areas with 65,000+: 2005-2010
                 Note: 2005-2009 figures for Lancaster Co. and Nebraska are from the
                 larger “full” sample, meaning more accuracy. Douglas Co. has always
                 been at full sampling rate. Only 2006 - 2009 data has group quarters.
                                                                                   19
Nebraska State Data Center – CPAR @ UNO
Point Estimates, MOE and
                          Confidence Intervals
                The ACS data provide point estimates for various
                 characteristics. ACS data also include a margin of error
                 (MOE) for finding a lower and upper bound.
                      Why?
                           The ACS is a sample and subject to sampling error.
                           Is the data representative of the entire population?
                           Census 2000 long form also a sample—1 in 6 sampling rate
                            made sampling error small and MOE was not released.
                Adding and subtracting the MOE to/from the point
                 estimate creates a range called a confidence interval.
                      ACS displays the MOE for a 90% confidence
                       interval.
                           The bounds tell us that we are 90% confident that the figure
                            for the entire population would be in this range if all
                            households were surveyed.
                                                                                      20
Nebraska State Data Center – CPAR @ UNO
PUMA geography
             Nebraska has 14 PUMA areas (4 in Douglas Co., 2 in Lancaster)
             Current PUMA boundaries for the ACS are the same as for Census
              2000
                  Boundaries could change after Census 2010
             PUMA geography has more importance in the ACS
                  Data released annually since PUMAs exceed the annual ACS
                   release population threshold
                        Not many Nebraska geographies get annual data; PUMAs are the
                         smallest annual geography for making statewide comparisons
                  Breaks core metro counties into smaller areas and gives proxies
                   for smaller counties that are similar to the larger PUMA area
             Reference Maps can be viewed on the internet
                  Organized by state
                  http://www.census.gov/geo/www/maps/puma5pct.htm
                                                                                    21
Nebraska State Data Center – CPAR @ UNO

More Related Content

Similar to NCompass Live: American FactFinder: the Census Bureau's online data retrieval tool

Making It Cout: Using the 2010 US Census in Grant Writing
Making It Cout: Using the 2010 US Census in Grant WritingMaking It Cout: Using the 2010 US Census in Grant Writing
Making It Cout: Using the 2010 US Census in Grant WritingIllinois ResourceNet
 
Ej mapping taskforce
Ej mapping taskforceEj mapping taskforce
Ej mapping taskforceRobertsMGB
 
What happened the Census?
What happened the Census?What happened the Census?
What happened the Census?Sarah Maximiek
 
Pres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanenPres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanensoder145
 
Pres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanenPres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanensoder145
 
Postal Data & Google Maps Shine Light on New Orleans Recovery
Postal Data & Google Maps Shine Light on New Orleans RecoveryPostal Data & Google Maps Shine Light on New Orleans Recovery
Postal Data & Google Maps Shine Light on New Orleans Recoverydenicew
 
The American Community Survey
The American Community SurveyThe American Community Survey
The American Community SurveyEsri
 
The Impact of the American Community Survey on Small Area Estimation
The Impact of the American Community Survey on Small Area EstimationThe Impact of the American Community Survey on Small Area Estimation
The Impact of the American Community Survey on Small Area Estimationsoder145
 
Demographic data101
Demographic data101Demographic data101
Demographic data101Amber Keller
 
The AfriPop and AsiaPop projects: Mapping people, pregnancies and births
The AfriPop and AsiaPop projects: Mapping people, pregnancies and birthsThe AfriPop and AsiaPop projects: Mapping people, pregnancies and births
The AfriPop and AsiaPop projects: Mapping people, pregnancies and birthsICS_Integrare
 
ICPSR Data Sharing
ICPSR Data SharingICPSR Data Sharing
ICPSR Data SharingICPSR
 
Social Science Students: Making Census Data Work for You
Social Science Students: Making Census Data Work for YouSocial Science Students: Making Census Data Work for You
Social Science Students: Making Census Data Work for YouCelia Emmelhainz
 
SHADAC Resources
SHADAC ResourcesSHADAC Resources
SHADAC Resourcessoder145
 
Nygis october2010
Nygis october2010Nygis october2010
Nygis october2010RobertsMGB
 
2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...
2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...
2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...GIS in the Rockies
 

Similar to NCompass Live: American FactFinder: the Census Bureau's online data retrieval tool (20)

NCompass Live: Accessing Census Data
NCompass Live: Accessing Census Data NCompass Live: Accessing Census Data
NCompass Live: Accessing Census Data
 
Making It Cout: Using the 2010 US Census in Grant Writing
Making It Cout: Using the 2010 US Census in Grant WritingMaking It Cout: Using the 2010 US Census in Grant Writing
Making It Cout: Using the 2010 US Census in Grant Writing
 
Ej mapping taskforce
Ej mapping taskforceEj mapping taskforce
Ej mapping taskforce
 
What happened the Census?
What happened the Census?What happened the Census?
What happened the Census?
 
Pres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanenPres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanen
 
Pres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanenPres hcfo mar7_turner_lukanen
Pres hcfo mar7_turner_lukanen
 
Postal Data & Google Maps Shine Light on New Orleans Recovery
Postal Data & Google Maps Shine Light on New Orleans RecoveryPostal Data & Google Maps Shine Light on New Orleans Recovery
Postal Data & Google Maps Shine Light on New Orleans Recovery
 
The American Community Survey
The American Community SurveyThe American Community Survey
The American Community Survey
 
The Impact of the American Community Survey on Small Area Estimation
The Impact of the American Community Survey on Small Area EstimationThe Impact of the American Community Survey on Small Area Estimation
The Impact of the American Community Survey on Small Area Estimation
 
Demographic data101
Demographic data101Demographic data101
Demographic data101
 
Data Day 2012_Bakis_Intro to US Census
Data Day 2012_Bakis_Intro to US CensusData Day 2012_Bakis_Intro to US Census
Data Day 2012_Bakis_Intro to US Census
 
The AfriPop and AsiaPop projects: Mapping people, pregnancies and births
The AfriPop and AsiaPop projects: Mapping people, pregnancies and birthsThe AfriPop and AsiaPop projects: Mapping people, pregnancies and births
The AfriPop and AsiaPop projects: Mapping people, pregnancies and births
 
ICPSR Data Sharing
ICPSR Data SharingICPSR Data Sharing
ICPSR Data Sharing
 
lecture10.ppt
lecture10.pptlecture10.ppt
lecture10.ppt
 
Social Science Students: Making Census Data Work for You
Social Science Students: Making Census Data Work for YouSocial Science Students: Making Census Data Work for You
Social Science Students: Making Census Data Work for You
 
Finding Data from the US Census
Finding Data from the US CensusFinding Data from the US Census
Finding Data from the US Census
 
SHADAC Resources
SHADAC ResourcesSHADAC Resources
SHADAC Resources
 
Nygis october2010
Nygis october2010Nygis october2010
Nygis october2010
 
2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...
2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...
2012 Emergency Track, Emergency Preparedness: Using Local and Federal Data an...
 
Data for Decision Maker
Data for Decision MakerData for Decision Maker
Data for Decision Maker
 

More from Nebraska Library Commission

NCompass Live: Program Planning with a Marketing Mindset
NCompass Live: Program Planning with a Marketing MindsetNCompass Live: Program Planning with a Marketing Mindset
NCompass Live: Program Planning with a Marketing MindsetNebraska Library Commission
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...Nebraska Library Commission
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...Nebraska Library Commission
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...Nebraska Library Commission
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...Nebraska Library Commission
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Allergies & ...
Big Talk From Small Libraries 2024:  Afterschool Meals  Program: Allergies & ...Big Talk From Small Libraries 2024:  Afterschool Meals  Program: Allergies & ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Allergies & ...Nebraska Library Commission
 
Big Talk From Small Libraries 2024: Memory Cafés: A Community Program
Big Talk From Small Libraries 2024:  Memory Cafés: A Community ProgramBig Talk From Small Libraries 2024:  Memory Cafés: A Community Program
Big Talk From Small Libraries 2024: Memory Cafés: A Community ProgramNebraska Library Commission
 
Big Talk From Small Libraries 2024: Genrefying your Public Library
Big Talk From Small Libraries 2024:  Genrefying your Public LibraryBig Talk From Small Libraries 2024:  Genrefying your Public Library
Big Talk From Small Libraries 2024: Genrefying your Public LibraryNebraska Library Commission
 
Big Talk From Small Libraries 2024: Case Study: Implementing an Afterschool ...
Big Talk From Small Libraries 2024:  Case Study: Implementing an Afterschool ...Big Talk From Small Libraries 2024:  Case Study: Implementing an Afterschool ...
Big Talk From Small Libraries 2024: Case Study: Implementing an Afterschool ...Nebraska Library Commission
 
Big Talk From Small Libraries 2024: Farmer’s Day Fundraising
Big Talk From Small Libraries 2024: Farmer’s Day FundraisingBig Talk From Small Libraries 2024: Farmer’s Day Fundraising
Big Talk From Small Libraries 2024: Farmer’s Day FundraisingNebraska Library Commission
 
Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...
Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...
Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...Nebraska Library Commission
 
Big Talk From Small Libraries 2024: Accepting Credit Cards with PayPort
Big Talk From Small Libraries 2024: Accepting Credit Cards with PayPortBig Talk From Small Libraries 2024: Accepting Credit Cards with PayPort
Big Talk From Small Libraries 2024: Accepting Credit Cards with PayPortNebraska Library Commission
 
Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...
Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...
Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...Nebraska Library Commission
 
NCompass Live: Winning Grants for Your Library Programming
NCompass Live: Winning Grants for Your Library ProgrammingNCompass Live: Winning Grants for Your Library Programming
NCompass Live: Winning Grants for Your Library ProgrammingNebraska Library Commission
 
NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...
NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...
NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...Nebraska Library Commission
 
NCompass Live: Best of the Best Teen Reads of 2023
NCompass Live: Best of the Best Teen Reads of 2023NCompass Live: Best of the Best Teen Reads of 2023
NCompass Live: Best of the Best Teen Reads of 2023Nebraska Library Commission
 

More from Nebraska Library Commission (20)

NCompass Live: Program Planning with a Marketing Mindset
NCompass Live: Program Planning with a Marketing MindsetNCompass Live: Program Planning with a Marketing Mindset
NCompass Live: Program Planning with a Marketing Mindset
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In Sheet ...
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Sign-In & Out ...
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Leftover Meal ...
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Daily Meal Cou...
 
Big Talk From Small Libraries 2024: Afterschool Meals Program: Allergies & ...
Big Talk From Small Libraries 2024:  Afterschool Meals  Program: Allergies & ...Big Talk From Small Libraries 2024:  Afterschool Meals  Program: Allergies & ...
Big Talk From Small Libraries 2024: Afterschool Meals Program: Allergies & ...
 
Big Talk From Small Libraries 2024: Memory Cafés: A Community Program
Big Talk From Small Libraries 2024:  Memory Cafés: A Community ProgramBig Talk From Small Libraries 2024:  Memory Cafés: A Community Program
Big Talk From Small Libraries 2024: Memory Cafés: A Community Program
 
Big Talk From Small Libraries 2024: Genrefying your Public Library
Big Talk From Small Libraries 2024:  Genrefying your Public LibraryBig Talk From Small Libraries 2024:  Genrefying your Public Library
Big Talk From Small Libraries 2024: Genrefying your Public Library
 
Big Talk From Small Libraries 2024: Case Study: Implementing an Afterschool ...
Big Talk From Small Libraries 2024:  Case Study: Implementing an Afterschool ...Big Talk From Small Libraries 2024:  Case Study: Implementing an Afterschool ...
Big Talk From Small Libraries 2024: Case Study: Implementing an Afterschool ...
 
Big Talk From Small Libraries 2024: Farmer’s Day Fundraising
Big Talk From Small Libraries 2024: Farmer’s Day FundraisingBig Talk From Small Libraries 2024: Farmer’s Day Fundraising
Big Talk From Small Libraries 2024: Farmer’s Day Fundraising
 
Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...
Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...
Big Talk From Small Libraries 2024: Towering Bookstacks and Heavy Doors: Less...
 
Big Talk From Small Libraries 2024: Accepting Credit Cards with PayPort
Big Talk From Small Libraries 2024: Accepting Credit Cards with PayPortBig Talk From Small Libraries 2024: Accepting Credit Cards with PayPort
Big Talk From Small Libraries 2024: Accepting Credit Cards with PayPort
 
Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...
Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...
Big Talk From Small Libraries 2024: Leveraging Student Projects and Organizat...
 
NCompass Live: Winning Grants for Your Library Programming
NCompass Live: Winning Grants for Your Library ProgrammingNCompass Live: Winning Grants for Your Library Programming
NCompass Live: Winning Grants for Your Library Programming
 
NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...
NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...
NCompass Live: ConnectEd Nebraska: Bridging the Digital Divide through Innova...
 
NCompass Live: WiFi In the Library
NCompass Live: WiFi In the LibraryNCompass Live: WiFi In the Library
NCompass Live: WiFi In the Library
 
NCompass Live: Best of the Best Teen Reads of 2023
NCompass Live: Best of the Best Teen Reads of 2023NCompass Live: Best of the Best Teen Reads of 2023
NCompass Live: Best of the Best Teen Reads of 2023
 
NCompass Live: Auditing Library Websites
NCompass Live: Auditing Library WebsitesNCompass Live: Auditing Library Websites
NCompass Live: Auditing Library Websites
 
NCompass Live: Meet the NLC, Part 2
NCompass Live: Meet the NLC, Part 2NCompass Live: Meet the NLC, Part 2
NCompass Live: Meet the NLC, Part 2
 
NCompass Live: Meet the NLC, Part 1
NCompass Live: Meet the NLC, Part 1NCompass Live: Meet the NLC, Part 1
NCompass Live: Meet the NLC, Part 1
 

Recently uploaded

ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...JhezDiaz1
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfErwinPantujan2
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 

Recently uploaded (20)

ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 

NCompass Live: American FactFinder: the Census Bureau's online data retrieval tool

  • 1. Census Data Basics An Informational Session Presented for: Nebraska Library Commission Webinar March 7, 2012 David Drozd, Center for Public Affairs Research, UNO CB 108 402-554-2132 ddrozd@unomaha.edu www.unomaha.edu/cpar
  • 2. Terminology & Definitions  Decennial Census: headcount taken every 10 years; mandated by Constitution for equal representation  Short form: basic decennial Census questionnaire sent to most households in 2000 and all households in 2010; records simple demographics like age, gender, race, housing tenure (own/rent)  Long form: detailed decennial Census questionnaire sent to a sample of households in the 2000 Census but not used in the 2010 Census; recorded socio-economic and detailed housing data  American Community Survey (ACS): annual sample survey – provides current data; similar to long form (replaced it) – allowed 2010 Census to be short form only (simply a headcount)  Items like marital status, education attainment, income/poverty 2 Nebraska State Data Center – CPAR @ UNO
  • 3. Geography  Size continuum: large to small & small to large  Legal/Administrative vs. Census/Statistical  Nation—State—County—City—Township  Block—Block Group—Census Tract—PUMA—Zip Code—Metro Area (MSA)—Division—Region 3 Nebraska State Data Center – CPAR @ UNO
  • 4. 4
  • 5. 5
  • 6. 6
  • 7. Geography VS. Data (A Duel)  There is always a tradeoff between available information and the geography for which it is available  Can be due to confidentiality restraints  More specific information may require expanding to a larger geography  Even if the data is provided, you must ask whether the data is “reliable” for that geography?  Are the figures based on a small number of cases where the sampling error could be large?  Sampling error shows how different the figures could be if different households/people were included in the sample. 7 Nebraska State Data Center – CPAR @ UNO
  • 8. The American Community Survey: What is it?  Nationwide written/mail survey conducted by the U.S. Census Bureau  Sent to a sample of households, not all households  Similar to the sample portion of the decennial (10 year) census but is completed every year  Gives us more current information: annual data rather than 10 year intervals between data releases  Provides data on the same Census topic areas  Replaces “long form” of decennial census; 2010 Census primarily a population count  The “future” of socio-economic Census data 8 Nebraska State Data Center – CPAR @ UNO
  • 9. ACS New Subject Areas:  Food stamp recipiency of households  Fertility (women age 15-50 giving birth in the last year)  Note: These items were not asked on Census 2000 but have been asked since early-on in the ACS  Health Insurance Coverage and Marital History added in 2008  Field of Bachelor’s Degrees added in 2009 See survey questionnaire for exact question wording. - Questionnaire is at: http://www.census.gov/acs/www/ KEY POINT: Remember that the goal of the ACS is not to make exact counts of the population or an item like the number of births (other sources for that), but to provide information on the characteristics of the population or those giving birth (poverty status, labor force status) – information you can’t find elsewhere! 9 Nebraska State Data Center – CPAR @ UNO
  • 10. ACS Data Release Schedule (full implementation in 2005) Type of Population of Previous Year's Data Released in the Fall of: Data Area 2006 2007 2008 2009 2010 2011 Annual 65,000+ Estimate 3-year 20,000+ aggregate Under 20,000; 5-year Census Tracts, aggregate Zip Codes We had to wait for data for smaller areas, but now we will get data updated annually (using a rolling timeframe from one year to the next: 2005-2009 then 2006-2010). 10 Nebraska State Data Center – CPAR @ UNO
  • 11. Multi-year Aggregate Estimates: Advantages  The aggregates provide data for more geographies  Annual data for NE: 3 counties (Douglas, Lancaster, Sarpy)  3-yr aggregate: 16 counties  5-yr aggregate: all 93 counties  For areas that get annual data, the aggregates based on more completed questionnaires (a higher “N”—the number of surveys) so it will be more accurate and have smaller margins of error (MOE)  Especially important for sub-groups—data by race, age  Will help reduce variability in year-to-year figures  Some FactFinder tables are prepared but not released annually because of inaccuracy concerns—some of those tables will now have data released 11 Nebraska State Data Center – CPAR @ UNO
  • 12. Data Questions to Ask  What would I like to have ideally?  Exact data items (variables)  Geography  Timeframe  What source do I use to get that – Census (decennial), ACS, or Intercensal Estimates Program  Is that data available? Is it accurate or have large error factors?  If not, what are my best tradeoffs?  Is it more important to have that exact geography or can I use a larger one as a proxy? (Douglas County census tract 12 versus 68110 zip)  Do I want the most current data or can I extend to a longer timeframe (to increase accuracy or availability)? (2010 versus 2008-10)  Any item split by age or race should use 3-yr unless geography is sufficiently large (State level might not be large enough) 12 Nebraska State Data Center – CPAR @ UNO
  • 13. End of Official Presentation Remaining slides are for reference only 13 Nebraska State Data Center – CPAR @ UNO
  • 14. ACS Subject Areas: #1 Demographic (DP-1)  Population and Housing Unit Totals  Sex  Age  Race  Ethnicity (Hispanic origin) These are tied or weighted to the data coming from the Census Estimates Program – that, or the 2010 Census, is the official source for “count” data (totals, age, sex, race), not the ACS 14 Nebraska State Data Center – CPAR @ UNO
  • 15. ACS Subject Areas: #2 Social (DP-2)  Household type, size, and relationships  School enrollment and educational attainment  Marital Status  Fertility (women ages 15-50 who have given birth in the past 12 months)  Item not asked on Census 2000  Disability Status  Mobility (residence change from 1 year ago)  Place of birth, ancestry, citizenship status  Language(s) spoken and English “how well” 15 Nebraska State Data Center – CPAR @ UNO
  • 16. ACS Subject Areas: #3 Economic (DP-3)  Employment/Unemployment  Commuting to Work  Occupation, Industry  Class of worker  (Government, self-employed, etc.)  Income and sources  Poverty  Food stamp recipiency of households  Item not asked on Census 2000  Health Insurance Coverage 16 Nebraska State Data Center – CPAR @ UNO
  • 17. ACS Subject Areas: #4 Housing (DP-4)  Housing tenure (owning vs. renting)  Number of units in structure  Year structure built, Year moved into  Rooms, Occupants per room  House characteristics  Vehicles available  Home Value (self-reported)  Mortgage status, amount, and burden  Rental status, amount, and burden Use the comparison profiles on the web: www.census.gov 17 Nebraska State Data Center – CPAR @ UNO
  • 18. ACS History and Timeline  Development began in the mid 1990s.  Data first collected in 1996 at 4 test sites. In 1997 there were 8 test sites including Douglas County, NE.  Expanded to 31 test sites in 36 counties in 1999 for comparison to Census 2000.  In 2002, the sample included 1,203 counties to provide accurate state data. Data released for areas with 250,000 people (Lancaster County).  Survey fully implemented (all counties) in January 2005.  Sampling of Group Quarters began in January 2006. Note: All past and future ACS products and sampling rates were/are subject to funding levels approved or adjusted by Congress and the Commerce Dept. 18 Nebraska State Data Center – CPAR @ UNO
  • 19. Nebraska ACS Data: Current Time Series  Omaha city and Douglas County (test site): 1997-2010  Lancaster County (250,000 people): 2002-2010  Nebraska (state): 2000-2010  Other areas with 65,000+: 2005-2010 Note: 2005-2009 figures for Lancaster Co. and Nebraska are from the larger “full” sample, meaning more accuracy. Douglas Co. has always been at full sampling rate. Only 2006 - 2009 data has group quarters. 19 Nebraska State Data Center – CPAR @ UNO
  • 20. Point Estimates, MOE and Confidence Intervals  The ACS data provide point estimates for various characteristics. ACS data also include a margin of error (MOE) for finding a lower and upper bound.  Why?  The ACS is a sample and subject to sampling error.  Is the data representative of the entire population?  Census 2000 long form also a sample—1 in 6 sampling rate made sampling error small and MOE was not released.  Adding and subtracting the MOE to/from the point estimate creates a range called a confidence interval.  ACS displays the MOE for a 90% confidence interval.  The bounds tell us that we are 90% confident that the figure for the entire population would be in this range if all households were surveyed. 20 Nebraska State Data Center – CPAR @ UNO
  • 21. PUMA geography  Nebraska has 14 PUMA areas (4 in Douglas Co., 2 in Lancaster)  Current PUMA boundaries for the ACS are the same as for Census 2000  Boundaries could change after Census 2010  PUMA geography has more importance in the ACS  Data released annually since PUMAs exceed the annual ACS release population threshold  Not many Nebraska geographies get annual data; PUMAs are the smallest annual geography for making statewide comparisons  Breaks core metro counties into smaller areas and gives proxies for smaller counties that are similar to the larger PUMA area  Reference Maps can be viewed on the internet  Organized by state  http://www.census.gov/geo/www/maps/puma5pct.htm 21 Nebraska State Data Center – CPAR @ UNO

Editor's Notes

  1. 1997 sample for Douglas County was larger than in subsequent years. 1997 sampling was more like 2000 Census.