# Presentation: 925385

## American Community Survey Update

- Prepared for the Joint State Data Center/Business and Industry Data Center and Federal-State Cooperative Program for Population Estimates Session
- March 28, 2006

**Notes:**
Good morning, Lisa was disappointed not to be able to attend and get to see and talk with you

I reminded her she will have many more such opportunities

## Overview of Session

- Updates on operations, research and evaluations, user materials - Deborah Griffin
- Weighting and estimation – Alfredo Navarro
- Update on Data Products – Doug Hillmer
- Your questions

**Notes:**
Three ACS managers here today to cover a broad set of topics
I’ll start with some updates on 
2005/2006 operations
Mention a special product we are producing for the gulf coast areas
Give you some highlights of some research and evaluation efforts underway, including the content test
Share with you some information on our progress on a technical paper and user guides and training materials

Freddie will cover a series of topics relating to weighting and estimation

Doug will discuss data products and upcoming data release 

I’d like to save your questions until after we each talk.

## Data Collection Updates

- 2005
- Expansion to full housing unit sample in United States and Puerto Rico
- Challenges in Gulf Coast area
- 2006
- Introduced Group Quarters sample
- New translated materials

**Notes:**
 2005 - from about 800K to about 3 million sample annually (250k per month)

Expansion into Puerto Rico and large number of new counties
2005 – due to devastation in gulf coast areas in September 2005, data collection changes 

Initial changes based on desire to stay out of the way of emergency efforts and to ensure staff safety
Did not mail forms or use CATI in OCT in some areas

Did not allow interviewers to go into some areas in Sept/Oct

Most operations back to normal in Nov – in all but a few areas

2006 – began data collection in GQs

Developed new translated materials (Spanish, Chinese, Korean, Russian, Vietnamese) for interviewer use – letters, brochures, Q&As

## Interviewing ResultsPuerto Rico

- Low rate of mail and phone interviews.
- Reliability implications and deliverability and mailability issues.
- All results are weighted and estimate the proportion of noninterviews and interviews by mode out of the total eligible sample addresses in the January through June 2005 sample panels.

- Personal Visit   72%

- Noninterviews 2%

- Mail 20%

- Phone 6%

## Interviewing Results United States

- Consistent with 2004 results prior to sample expansion.
- All results are weighted and estimate the proportion of noninterviews and interviews by mode out of the total eligible sample addresses in the January through June 2005 sample panels.

- Personal Visit  38%

- Noninterviews 2%

- Mail  51%

- Phone 9%

## Data Capture and Data Processing Updates

- Testing image capture methods
- Processing of 2005 ACS data in spring 2006
- 	editing
- 	weighting/estimation

## Language Assistance Program

- Monitoring language needs in CATI and CAPI
- Translated additional materials – currently conducting cognitive testing of translations
- Planning for testing of multilingual brochure/letter

## 2005 ACS Special Product for Gulf Coast Area

- Scope of devastation
- Standard 2005 ACS data products summarize annual characteristics
- Recognition that additional information needed for LA, TX, AL, and MS

**Notes:**
Extreme nature of the devastation led to this decision

The ACS was not designed to produce results based on data for less than a full year

## 2005 ACS Special Product for Gulf Coast Area

- Special product will include two partitions of the data –
- 	first 8 months of 2005
- 	last 4 months of 2005
- Consultations with SDCs and others on defining geographic tabulation areas
- Plan to release these products in May 2006

## Research and Evaluation Update Data Collection and Capture

- Content testing
- Mail response improvement
- Language brochure and language assistance
- GQ and Puerto Rico operational evaluations
- Data capture methodology

## Content Testing Revised Wording of Current Topics

- Year built
- Number of rooms/bedrooms
- Complete kitchen/plumbing facilities

- Heating fuel
- Food stamps
- Value of this property
- Mortgage components
- Vehicles

## Content Testing Revised Wording of Current Topics

- Place of birth
- Citizenship
- Year of arrival
- School enrollment
- Educational attainment
- Residence 1 year ago

- Disability
- Veterans status, period of service
- Labor force status
- Work status
- Industry and occupation

## Content Testing New Topics

- Health insurance
- Marital history
- Service connected disability

## Content Testing

- Data collection completed
- Analysis underway
- Plan to make final decisions on the 2008 ACS content in January 2007

## Mail Response Improvement

- Dependent on 2007 funding of methods panel activities
- Testing additional mailings to improve mail response in areas with lowest levels of participation by mail

## Language Assistance

- Testing mailing multilingual brochure to encourage calls to language assistance lines
- Developed set of translated materials in Spanish, Chinese, Vietnamese, Korean, and Russian and currently conducting cognitive testing of these translations

## Operational Evaluations of Group Quarters and Puerto Rico 

- Includes evaluations of data collection methods and data quality
- Includes evaluations of addresses on the MAF for Puerto Rico - mailability and deliverability concerns

## Data Capture Evaluation

- Testing change from key-from-paper to image capture and key-from image (KFI) technology
- Evaluation underway to compare data capture error rates and study respondent behavior in completing KFI forms

## Research and Evaluation Update Weighting and Estimation

- Multi-year estimates
- Current residence rules
- Weighting research
- Alternative uses of housing and population estimates as ACS controls

## Research on Multi-Year Estimates

- Production of series of 3-year and 5-year estimates for the ACS test sites
- Expect to produce datasets in December 2006 with external release in early 2007

## Current Residence Rules

- ACS residence rules use concept of “current residence” while population controls use concept of “usual residence”
- Evaluation will use ACS data to estimate the number of geographic areas with large differences in these populations
- Preliminary data expected this fall

## User Materials

- ACS Design and Methodology report includes detailed documentation of the full set of ACS methods used in 2005/2006
- Expected release May 2006
- Plans for periodic updates

## Design and Methodology Report

- Program History
- Frame
- Sample design & selection
- Content
- Survey rules, concepts & definitions
- Data collection and capture

- Language Assistance Program
- Weighting and estimation
- Variance estimation
- Data products
- Data dissemination
- Sources and controls on nonsampling error

## User Materials

- Initial set of user guide training materials developed that include series of Power Point presentations on
- Overview of the ACS
- Data products
- How to access ACS data
- Future products
- Expected release May 2006

## User Materials 

- Additional materials needed
- Short brochure or manual as quick reference for users on data products and how they should be used
- Detailed guide on interpretation of multi-year estimates
- Need your input on additional specific needs

## Weighting and Estimation

## Overview of Session

- Plan to cover broad set of topics, including both technical details and specific examples
- Weighting and estimation
- Use of population controls in production of single-year estimates
- Single-year estimation
- Multi-year estimation
- Weighting and estimation research

## Annual Weighting Process3 Major Components

- Initial weights to reflect the probability of selection
- Adjust weights of interviewed households to account for noninterviews
- Adjust weights to independent housing unit and population estimates (controls)

## Initial Weight Probabilities of Selection

- Initial probability of selection is assigned as a function of the sample design
- Nonresponse follow-up (Personal Visit – CAPI) sample design

## Initial Sampling Rates

| Governmental Unit Size: Estimate of Occupied Housing Units | ACS 1-year   Sampling Rates |
| --- | --- |
| 0 - 200 | 10.0% |
| 201 - 800 | ~7.0% |
| 801 - 1200 | ~3.5% |
| Census Tract Size |  |
| 2000 or less | ~2.4% |
| Over 2000 | ~1.7% |

## Sub-sampling RatesNonresponse Follow-up 

| Address and Tract Characteristics | Sub-sampling
Rate |
| --- | --- |
| Unmailable Addresses |       2 – in - 3 |
| Mailable addresses with the lowest mail/CATI rates | 
      1 – in - 2 |
| Mailable addresses in tracts with average mail/CATI rates | 
      2 – in - 5 |
| Other mailable addresses |       1 – in - 3 |

## Nonresponse Adjustment

- The weight of the nonrespondents is transferred to the respondents
- Nonresponse adjustment is carried out at the census tract level for groups of households with characteristics correlated with nonresponse

## Ratio Adjustments to Housing Unit and Population Controls

- Intercensal estimates are produced by updating the previous census results using various administrative records data
- In a multi-stage process, housing unit and population adjustment ratios are applied to the weights
- Applied at the county (or group of counties) level by race/ethnicity and age/sex groups

## Weighting and EstimationSingle-Year Estimation

- Estimates include:
- 	population estimates
- 	rates
- 	means, medians

**Notes:**
A variety of ACS estimates are produced.  These estimates include
population estimates such as the number of children in poverty
rates such as the percent foreign born population 
medians such as median household income

Single-year estimates are computed using current geography

This can change over time is areas grow or boundaries change

## Weighting and EstimationSingle-Year Estimation

- Percent foreign born population in year 1:

## Both Single- and Multi-Year Estimates are Period Estimates

- 2005 single-year estimates are based on Jan 2005 – Dec 2005 interviews (12 months)
- 2005-2007 three-year estimates are based on Jan 2005 – Dec 2007 interviews (36 months)
- 2005-2009 five-year estimates are based on   Jan 2005 - Dec 2009 interviews (60 months)

**Notes:**
All ACS data products are produced  by pooling the data collected during a sequence of monthly survey interviews.  In that regard, multi-year estimates are not any different from single-year estimates.

What differs is the number of interview months from which the data are pooled.  We can think of both single- and multi-year estimates as period estimates.

Interpreting period estimates can be challenging, whether the length of the period is 12 months, 36 months, or 60 months.  For example:
How can we interpret a single-year estimate of school enrollment when it is based on data collected both in months when children are in school and during the summer months, when children are not in school?
How can we interpret a single-year estimate of median household income for a city when it is based on income data for the past 12 months collected in 12 different months of the year?

Let me try to address those data interpretation issues in this session, first.  Now, we will focus our attention on how the multi-year estimates will be produced. 

## Multi-Year Estimates

- Combining or “pooling”
- Population controls
- Tabulation geography
- Inflation adjustments

## Multi-Year EstimatesPopulation Controls

- Simple average of the set of population controls for the years comprising the multi-year estimate
- For example, for the 2005-2009 five-year estimates,  sum the controls released in 2010 for 2005, 2006,...,2009 divided by 5
- Use the most recently released estimates for each year

**Notes:**
As I discussed before single-year ACS estimates are controlled to the official Census Bureau July 1st intercensal population estimates. Now, we will focus on how population controls are produced for three- and five-year estimates. 

The population controls for multi-year estimates are a simple average of the population estimates for each of the years covered by the multi-year estimation period.  For example, the population control for a 2005-2007 three-year estimate is the sum of (the 2005,  + the 2006, + the 2007 population estimates) divided by 3.

Intercensal population estimates are updated every year.  Every year population estimates are prepared for the current year.  In addition, revised population estimates are prepared for several previous years. 

In the example above, we would take a simple average of the most recent vintage of the population estimates for the years in question.  In other words, we would use sum of (the 2007 vintage 2005 control + the 2007 vintage 2006 control + the 2007 vintage 2007 control) divided by 3.

## Multi-Year Estimates Tabulation Geography

- Boundary changes can occur through annexations during the multi-year period
- Plan is to tabulate using the geography of the most recent year in the multi-year estimate
- For 2005-2009 estimates, tabulate using all interviews for the period of 2005-2009 that were conducted in blocks that define the area in 2009

**Notes:**
Many geographic areas change their boundaries from year to year.  This is especially true of places that gain territory by annexation.  Congressional Districts in most states also change because of redistricting between the decennial census years.

Three- and five-year estimates will reflect the most recent boundaries for all geographic areas.

The source of up-to-date boundary information is the Census Bureau’s Boundary and Annexation Survey (BAS).

## Multi-Year EstimatesInflation Adjustments

- The Consumer Price Index is used to compute inflation factors
- Dollar valued data items are inflation adjusted to the most recent year of the period
- For example, for the 2005-2009 estimates, appropriate inflation factors are applied to reported income values for 2005, 2006, ... ,2008 to adjust to 2009 constant dollars

## Multi-Year EstimatesMedians

- Medians are produced using combined data records from all years, not by averaging each year’s median
- A 3-year median household income estimate is determined by combining the household records from the 3 years into one data set and determining the median from this combined distribution

**Notes:**
There is a special procedure for computing multi-year estimates of medians, such as median household income.

The median is the middle value of a ranked listing of responses for individual, household, or family data records.  

For example, suppose you want to know the median value of owner-occupied housing units in San Francisco for the three-year period, 2005 to 2007.  Here is how that would be done:
Adjust each 2005 and 2006 estimate to inflation-adjusted 2007 dollars.
Rank all of the estimates for 2005 to 2007 from highest to lowest (or lowest to highest).
Find the middle value. 

Finding the median age of the population of San Francisco would be done in the same way, except you can skip the first of the three steps.  

## ACS ResearchWeighting and Estimation

## ACS ResearchWeighting and Estimation

- Multi-year estimates
- Family equalization
- Use of alternative population estimates as ACS controls

## ACS ResearchMulti-Year Estimates

- Production of a series of multi-year estimates for the ACS test sites (1999 – 2005)
- The objective of this research is to assess issues of stability and comparability
- A secondary objective is gaining insights to develop and improve user materials

## ACS ResearchFamily Equalization	

- Assess impact of modifying weighting procedures to ensure consistency of the following estimates:
- 	Households and householders
- 	Householders and spouses (and unmarried partners) in married (unmarried) couple (partners) households
- 	Subfamily householders and subfamily spouses

## ACS ResearchUse of Alternative Population Controls

- The quality of national and state level population estimates is generally accepted.
- The benefits of using of these controls by several current surveys is well documented and understood.
- The quality of county level estimates, in particular estimates of detailed demographic groups, has not yet been determined.

## ACS ResearchUse of Alternative Population Controls

- Define alternative population controls based on geographic and demographic detail
- Control to state level estimates by age and sex, and race/ethnicity and county population total only
- Control to county population estimates by sex and age and to place level total population

**Notes:**
The quality of population estimates at the national and state level is generally accepted.  However, the quality at the county level, particularly for detailed demographic groups, is unknown.  The Census Bureau is planning the implementation of comprehensive research to assess the quality of the official county population estimates. This research will include a comprehensive review of the population projection models as well. 
We are also researching the use of alternative population controls.  The alternative sets of controls will be evaluated in terms of variance reduction and bias.   

## Contact Information

**Contact Information**

##   Data Products Update

**Notes:**
Good monrning.  My name is Nick Spanos.  I work on the production and dissemination of data products for the American Community Survey, and I’m here today to help you learn about those data products.

As you probably already know, the American Community Survey was designed to replace the decennial long form and collect the detailed demographic, socioeconomic, and housing statistics traditionally collected on the long form.

## Overview of Session

- Overview of data release schedule
- 2005 ACS data release schedule
- Geographic areas that will be covered
- Highlights of the new data products
- The 2005 ACS Special Product for Gulf Coast Area

## Overview of Data Release Schedule 

- Data collection is closed out just after the beginning of a calendar year
- Single-year and multi-year data products start to become available in the summer of the same year and continue to be released for several months
- The cycle repeats EVERY year

**Notes:**
In contrast, the data collection for the American Community Survey is an ongoing operation.  For a given year of the ACS, data collection starts in the beginning of the year and is closed out just after the beginning of the next calendar year, and data products start to become available in the summer after the end of the data collection period.  This leaves the Census Bureau will a little over six months time in which to process the data collected, review, document, and disseminate data products.  

Let’s take a look at what this entails.

## Data Release Schedule

| Type of Data | Population
Size of Area | Data for the previous year(s) released
in the summer of:

2006   2007   2008    2009  2010   2011  2012    2013 |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Single-year estimates | 65,000+ |  |  |  |  |  |  |  |  |
| 3-year estimates | 20,000+ |  |  |  |  |  |  |  |  |
| 5-year estimates | Down to Census Tract and Block Group  |  |  |  |  |  |  |  |  |

**Notes:**
So, let’s look at each of the years, 2006 through 2010.  
2006 – single-year estimates only (We will probably not be able to do multi-year data products including past years because of the changes in the sample, especially the inclusion of the GQ pop).  About 9000-10000 geo areas will get estimates
2007 – same as 2006
2008 – Single-year estimates plus a 3-year average data product covering the years 2005-2007 (about 20,000 geo areas will get estimates from the ACS for the first time)
2009 – Same situation as 2008: this time the 3-year average covers 2006-2008
2010 – single-year estimates 2007-2009 averages, and the first 5-year averages covering 2005-2009.  
In this year, it is worth noting that the 3-year averages product covers 2008 – 2010, no overlap with the first 3-year averages product covering 2005-2007.
 Same comments as for 2011.

Some other points:
The larger areas (with pop>65,000) get the multi-year estimates (3-year and 5-year) along with the small areas.  Thus, because we have accumulated more sample upon which to base our multi-year estimates, we can expect greater precision in the estimates than we would get for any single-year estimates for these larger areas.  So, data users will need to weigh precision against timeliness of the estimates, single-year estimates being the most current ones.
1-year and 3-year data products are subjected to certain data release rules to ensure that we only release estimates that meet certain criteria for statistical reliability.  However, 5-year estimates are not subject to these data release rules.  This is important since we will publish 5-year estimates down to the tract and block group level (I.e., very small areas).  And, we want to make sure the data users can group these tracts and block groups to create other entities that are meaningful to them.

## Each release will emphasize a theme

Demographic and social topics - MidAugust
Economic topics - End of August
Housing topics - October 

Selected Population Profiles for race, Hispanic Origin, and ancestry groups - November 

- Demographic and social topics - MidAugust
- Economic topics - End of August
- Housing topics - October
- Selected Population Profiles for race, Hispanic Origin, and ancestry groups - November

**2005 ACS data release schedule****Four data releases in 2006**

## Greater Sample SizesMore geographic areas can be published

| Projected number of ACS county-level estimates 
Estimates based on 2003 population estimates for U.S. counties |  |  |
| --- | --- | --- |
| Type of estimate | Number of counties | Percent of total U.S. population |
| Single-year estimates
(areas of 65,000+ population) |      761 | 82.5% |
| 3-year estimates
(areas of 20,000+ population) | +1,044 | 13.0% |
| 5-year estimates
(smallest areas) | +1,336 |   4.5% |
| Total |    3,141 | 100% |

**Greater Sample Sizes****More geographic areas can be published**

**Notes:**
Over 95% of the U.S. population will have county-level estimates by 2008.  For all types of geography: 9,000 – 10,000 geo areas will get estimates in 2006; about 30,000 areas will get estimates in 2008
We also plan to publish Municipios in PR starting in 2006

## ACS Geographic Hierarchy 

**Notes:**

This diagram shows the portions of the Census Bureau's geographic hierarchy that are included in the American Community Survey data products that will be released each year starting this Summer.

<Brief description of each geo summary level>

## U.S. Counties Receiving Single-Year Estimates

**Notes:**
As this map makes clear, the ACS estimates at the county level based on a single year of sample are clustered in the more densely populated parts of the country.  This leaves many rural states with very few or no counties that get ACS estimates.  How can we improve upon this situation?

## West Virginia Only 7 counties will receive estimates from the 2005 ACS in 2006

**Notes:**
For example, West Virgina, has 55 counties, but only 7 of them are large enough to receive ACS single-year estimates.

## West VirginiaEach of the Census 2000 PUMAs will receive 2005 ACS estimates in 2006

**West Virginia****Each of the Census 2000 PUMAs will receive 2005 ACS estimates in 2006**

**Notes:**
The approach we’ve taken is to publish for the Census 2000 Public Use Microdata Areas for the Census sample Public Use Microdata files.These areas were defined by the states to the Census Bureau, and, for the most part, they should be meaningful areas to many data users.  For example, West Virginia is partitioned into 12 of these areas (called PUMAs).  It is, perhaps, serendipitous that PUMAs across the countyr have about 1000,000 in population.  So, each is well above the 65,000 pop threshold.

## Publishing ACS estimates each year for the Census 2000 sample PUMAs will also help data users interested in urban areas.  

- Publishing ACS estimates each year for the Census 2000 sample PUMAs will also help data users interested in urban areas.
- This map shows the city of Los Angeles partitioned into the Census 2000 sample PUMAs.  ACS will publish for each of these PUMAs in addition to Los Angeles county

**Notes:**
PUMAs can also help the data user concentrating on large urban areas, illustrated by this PUMA map of the city of Los Angeles.

## Data Release Limitations

**Disclosure Avoidance**
- 	Census Bureau’s Disclosure Review Board (DRB) must clear all data products prior to their release to the public.
**Statistical Reliability**** **
**	**Applied only to the one-year and three-year data products
- 	Data users must be able to use ACS estimates as official Census Bureau data. Thus, some rules must be in place to ensure minimum reliability of estimates.

## Data Release Limitations

- Statistical reliability is assured by –
- Population size thresholds below which estimates are not released (65,000 for single-year products; 20,000 for 	three-year products)
- Data release testing and collapsing of tables that fail testing is based on a pre-determined coefficient of variation value that cannot be exceeded.

## Overview of ACS Data Products

- Examples will follow for
- Detailed Tables
- Data Profiles
- Ranking Tables
- Subject Tables
- Selected Population Profiles
- Other products
- Narrative Profiles
- Change (Multi-Year) Profiles
- Public Use Microdata Sample Files (PUMS)

**Notes:**
Up until now, the American Community Survey data products have been similar to those produced from the decennial census long form.  Like the decennial sample products, the ACS products show the characteristics of the country’s population and housing.  These products include detailed tables, tabular, narrative, and change profiles, ranking tables, and the Public Use Microdata Sample Files (PUMS).

## Detailed Tables

- Basic distributions of characteristics, similar to SF3 Detailed Tables
- The foundation upon which other data products are built
- Show estimates and their associated lower and upper bounds of the 90-percent confidence interval
- Include distributions for more than 500 characteristics, over 300 race and Hispanic Origin iterations, and 81 imputation tables.

**Notes:**
The detailed tables provide the most detailed data on all topics and geographic areas and are the basis for other products.  These tables show the survey estimates and their associated lower and upper bounds of the 90-percent confidence interval.  Currently, there are almost 300 “base” tables.  Many of the base tables are also repeated for 11 racial and Hispanic origin groups, yielding over 400 additional tables.  And finally, there are 75 imputation tables.

## Slide 65

**Notes:**
This is an example of a detailed table as displayed on the American FactFinder.

## Data Profiles

- Provide estimates of selected summary characteristics and important derived measures for each geographic area
- Rely on data tabulated in the Detailed Tables
- Produced for four sets of characteristics
- 		General demographic
- Social
- Economic
- Housing

**Notes:**
Tabular profiles are tables that provide distributions for estimates of selected summary characteristics and important derived measures for each geographic area.  They rely on the data tabulated in the Detailed Tables.

These profiles are produced for four distinct sets of characteristics:  general demographic, social, economic, and housing.  Like the detailed tables, these tables present the estimates along with the lower and upper bounds of the 90-percent confidence interval.

## Slide 67

**Notes:**
This is an example of a single year tabular profiles as displayed on the American Community Survey web site. The single year and change profiles can be downloaded in Excel format. 

## Ranking Tables

- Currently available for over 80 subjects
- Available for states
- Each subject includes a table and a graphic representation, which shows the 90% confidence interval for each estimate
- Graphs and tables show survey estimates and 90-percent confidence interval

**Notes:**
State and large jurisdiction Ranking Tables and graphics are available for selected subjects.  The survey estimates and 90-percent confidence intervals are shown on the graph so data users can easily view the statistical significance of comparisons among jurisdictions.  

## Slide 69

**Notes:**
The ranking table is the first of three parts comprising this data product.  Just like all our other tables, it shows the estimate along with the lower and upper bounds of the confidence interval.  The table is for a single characteristic, and the geographic areas are “ranked” from highest to lowest.

## Subject Tables

- Derived from Detailed Tables
- Show more detail than is available in the Profiles
- For a given topic, present distributions for a few relevant subgroups
- Allow for other measures such as medians and aggregates where appropriate
- Include the imputation rates for relevant measures

**Notes:**
The subject tables are a bit similar to the Census 2000 Quick Tables.  They would be derived from the base tables.  The subject tables would generally present distributions rather than the estimates.  Universe lines would be displayed as numeric estimates so it is clear to the user what the base of each distribution is.  These tables might also include other measures such as medians or aggregates, as well as the imputation rates for relevant measures shown in the table.

## Sample Subject Table(selection from U.S. Subject Table)

## Selected Population Profiles

- Idea is to quickly produce a report on a population or housing group of interest
- Examples:
- 	Native Hawaiians and Other Pacific Islander Race
- 	Groups Children under 18
- The elderly (60 and over)

**Notes:**
The ACS cannot show much detailed content for the NHOPI population for every state or county each year.
Yet, at the national level (and for a few states), the ACS could produce annual estimates of many characteristics of he NHOPI population 
A sub-population profile might be the best vehicle to report each year on characteristics of the NHOPI population

## Selected Population Profiles

- First Selected Population Profiles were published in January 2006
- Over 100 different Race, Hispanic Origin, and Ancestry groups

**Notes:**
The ACS cannot show much detailed content for the NHOPI population for every state or county each year.
Yet, at the national level (and for a few states), the ACS could produce annual estimates of many characteristics of he NHOPI population 
A sub-population profile might be the best vehicle to report each year on characteristics of the NHOPI population

## Sample Selected Population Profile(selection from iterated Selected Population Profile for Mexican Americans

## Other Products

- Special Tabulations
-     Done on a reimbursable basis similar to the Special Tabulations based on the 2000 Decennial Census
-     Disclosure Review Board has different rules for these tables than for the standard data products

**Notes:**
You can find the details about the ACS Special Tabulations program on our website.

## Other Products

- Public Use Microdata Sample (PUMS)
- 	Created each year from the full ACS sample
-    Size will be approximately 1% of the total sampling universe
-    Recoding and other techniques applied to data to protect confidentiality

**Notes:**
You can find the details about the ACS Special Tabulations program on our website.

## 2005 ACS Special Product for Gulf Coast Area

- ACS provides timely data for the population living in this area
- Interviewing in each county every month makes this product possible
- May release of products with 2005 estimates for
- 	January - August
- 	September – December

## 2005 ACS Special Product for Gulf Coast Area

- Disclosure avoidance requirement: county or group of counties must have at least 300 person interviews
- Local officials assisted in defining meaningful groupings of counties
- The estimates from Sept-Dec. will have larger variances, but no additional data release rules (for reliability) will be applied

## Slide 79

## 2005 ACS Special Product for Gulf Coast Area

- Counties that are too small have been combined

- Example: St. James,St. John the Baptist, and St. Charles parishes in Louisiana have been grouped into the “River Parish Region” – 560 completed interviews

## Contact Information

-  Doug Hillmer
- American Community Survey Office
- _Douglas.W. Hillmer@census.gov_
- 301-763-2994

**Notes:**
My contact information is included here in the event that you’d like to contact me directly.  Thank you for your time and attention today.

## Your Questions?