Metro by Metro: What $100 Buys

.. data and tools to examine the purchasing power of the incomes in different metros and states … this section reviews how you can access to data on what $100 buys by state and metro. Examine patterns of what $100 buys by year, 2008-2014, for all items and by type of goods & services category. Use the interactive table to view, rank, compare the Buying Power Index for each/all states and metros (MSAs). See the main Web page for more details.

What $100 Buys by Metro: 2014
The following graphic shows patterns of 2014 all items buying power of $100 by metro (MSAs). The color patterns/intervals are shown in the inset legend. Click graphic for larger view. Expand browser to full window for best quality view. Use GIS tools to develop thematic pattern maps for a range of data and criteria.

.. view developed using the CV XE GIS software.
.. click map for larger view and details.

Varying prices by region can be normalized using Regional Price Parities (RPP). The RPP is a weighted average of the price level of goods and services for the average consumer in one geographic region compared to all other regions in the U.S. See more about RPP measures. Using the RPP data, what $100 will buy can be determined by state and metro for the categories of all goods and services, goods, services-rents and other services. See about RPP goods and services types.

In the Boston metro, $100 buys about 90.7 percent of all items goods and services due to the high prices there. $100 in Boston seems more like $90.70 compared to the national average. In the Jefferson City, MO metro, the opposite is true. $100 buys all items goods and services due to lower prices in that metro. $100 in the Jefferson City, MO metro is the equivalent of $121.65 of all items goods and services compared to the national price levels.
• the Boston metro all items buying power index is 90.70
• the Jefferson City, MO metro all items buying power index is 121.65

Interactive Table – Top 10 Metros
The following graphic illustrates use of the Buying Power Index interactive table. This graphic shows the 10 metros that have the all items highest Buying Power Index. Use the interactive table to view/examine areas of interest.

– click graphic for larger view.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Metro Quarterly Establishments, Employment & Earnings by Industry

.. data, tools and methods to analyze metro business  patterns and trends .. the most current and comprehensive measures of business activity by county, metro and higher level geography are provided by the Establishments, Employment & Earnings (EEE) database. Use the resources described here to analyze establishments, employment and wages by metro for the most recent quarter and over-the-year change — by quarter 2013 through 2015.  Updated quarterly, the 2016Q1 data become available September 7, 2016. See the related Web section for more details.

These metro by metro EEE datasets are  closely integrated with the metros Situation & Outlook reports. Click a CBSA code in the “Code” column in that table then select related section 6.6. to access/download quarterly data for a metro.

Where Does America Make Things?
The graphic below shows percent employment in the manufacturing sector (employment in the private manufacturing sector as a percent of total private sector employment by county). This view illustrates how the EEE data can be used to develop insights.  Click graphic for larger view providing more detail. Use the GIS tools to analyze similar patterns for any industry. Interpreting this map graphic and alternative data resources … join us in a Data Analytics Lab session where we discuss making and interpreting this map view and alternatives.

– view developed with ProximityOne CV XE GIS and related GIS project.

Two Key Data Resources
1) Use the interactive table in the Web section to example total establishments, employment and wages for any selected MSA and/or in comparison with other MSAs.

2) Download metro quarterly Establishments, Employment & Earnings (EEE) by type of business data. Click a quarterly download link in Section 6.6 for a selected metro (see above note) and download the full 6-digit NAICS detail data for any/all quarters starting with 2013Q1 (CSV structure). These files provide 6-digit NAICS type of business code detail and included columns for :
for the most recent quarter ..
• establishments
• 1st, 2nd, and 3rd month employment
• total wages and average weekly wages
• establishments location quotient
• 1st, 2nd, and 3rd month employment location quotient
• wages and average weekly wages location quotient
for over-the-year change (previous year, same quarter ..
• establishments
• 1st, 2nd, and 3rd month employment
• total wages and average weekly wages
• establishments location quotient
• 1st, 2nd, and 3rd month employment location quotient
• wages and average weekly wages location quotient

Using the Interactive Table
Updated quarterly, use the interactive table in the Web section to view, rank, compare individual metros with other metro. The following graphic shows metros ranked in descending order by 2015Q4 average weekly wages. Columns to the right show over-the-year (2014Q4-2015Q4 in this case) characteristics.

– click graphic for larger view.

Using the Downloaded Data
Access/download quarterly establishments, employment & earnings data by detailed NAICS category using theSituation & Outlook Metro Reports. Select a metro from the interactive table by click a link in the “Code” column. The S&O metro report opens in a new page. In the table of contents, select section 6.6. from the table of contents (Establishments, Employment & Earnings by Detailed Type of Business). See this example for the Chicago metro.  See the related Web section for more details on using the download data files. .

Location Quotients
Pre-computed location quotients are included in the downloadable files. Location quotients (LQ) are ratios (indicators) that measure the concentration of an industry within a specific area (metro in this case) to the concentration of that industry nationwide.

If an employment LQ is equal to 1, then the industry has the same share of its area employment as it does in the nation. An employment LQ greater than 1 indicates an industry with a greater share of the local area employment than is the case nationwide. For example, Las Vegas will have an LQ greater than 1 in the Leisure and Hospitality industry because this industry makes up a larger share of the Las Vegas employment total than it does for the nation as a whole.

Employment LQs are calculated by first, dividing local industry employment by the all industry total of local employment. Second, national industry employment is divided by the all industry total for the nation. Finally, the local ratio is divided by the national ratio.

LQs are provided in the downloadable file for:
a) the reference quarter for each of establishments, employment and wages, and
b) over-the-year change for each of establishments, employment and wages.

Location Quotients will be reviewed in more detail in an upcoming blog post.

Important features of these data
• Tabulated for all counties, metros, states and the U.S.
• Tabulated for detailed types of business (6-digit NAICS).
• Tabulated quarterly and annually, the data enable time-series modeling.
• Employer-based administratively collected data; not estimates.
• Short lag (5 months) between reporting date and date of data accessibility
– data for first quarter 2016 (2016Q1) are available mid-September 2016.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

New 2016 Digital Roads Database

.. new resources for updated geographic reference and statistical mapping and geography for routing logistics and optimization .. The Census Bureau TIGER/Line is a continuously updated geographic database used for geographic reference and geospatial processing of data from various Census statistical programs including the decennial census Census 2010 and American Community Survey (ACS 2014). The public use version of TIGER is released annually that includes updates developed during the year. ProximityOne integrates the TIGER geographic updates in the Digital Map Database. Warren Glimpse, founder of ProximityOne, developed the GBF/DIME used as the prototype for TIGER/Line development.  See related Web section for more details, interactive table and access to GIS resources.

The TIGER database includes many types of files and data. The data are developed in the form of shapefiles and dbase files that may be used directly with the ProximityOne CV XE GIS software at no fee. Perform wide-ranging mapping and geospatial analysis applications using these GIS resources. See more aboutmapping statistical data.

TIGER/Line Roads Data
This section is focused mainly on the use of the TIGER/Line “edges” shapefile. The edges shapefile U.S. wall-to-wall street/road coverage in the form of line shapefiles. Lines classified as roads are intersection-to-intersection road segments. Line segment fields include name, left- and right-side high and low addresses, and many related attributes.

Use the U.S. by county interactive table below to examine attributes of TIGER 2016 street/road coverage. ProximityOne developed these county summary data by processing each county edges shapefile. See about using the edges shapefile with the CV XE GIS software below in this section.

Illustrative Applications
The following sequence of graphics shows an example of a “road segment” in context of related geography. These applications focus on an area in Kansas City, MO (Jackson County),. Jackson County has 52,139 TIGER 2016 road segments. See the related step-by-step summary of how you can create these and similar map views using CV XE GIS below in this section.

Road Segment Map View & Profile
– Starbucks locations shown as red markers; pointer on road segment by a Starbucks location.
– View illustrates how non-Census, non-statistical data can be integrated with TIGER.
– Clicking on the road segment (in GIS operation), a mini-profile displays.
– The profile shows attributes of the selected road segment.
.. the TLID value shows the unique ID for this segment among all segments in U.S.
.. left- and right-side high and low address ranges and included in the profile.

Corresponding Census Block Profile
– The road segments are boundaries for census blocks.
– The census block boundaries are shown using a related TIGER blocks shapefile.
– The more that 11 million census blocks cover the U.S. wall-to-wall.
– The census block code (290950073002017) is shown as a label in the map graphic and in the profile.

Neighborhood & Shopping Area View
– A zoom-out shows the location, roads and blocks for a broader areas.

Regional View
– A further zoom-out shows the focus area view in context of the metro counties (a related TIGER shapefile)
– The January 2016 Kansas City city area (orange cross-hatch pattern) is shown using a related TIGER 2016 shapefile.

TIGER 2016 Roads
TIGER/Line 2016 vintage files were released in August 2016. While many aspects of road coverage remain as described in this section, TIGER/line 2016 includes many updates as well as “new vintage” geography for school districts, state legislative districts, congressional districts and other political/statistical area geography.
• More about TIGER 2016.
• More about TIGER/Line in general.

TIGER 2016 Road/Street Name/Address Coverage
— Interactive Table
The following graphic illustrates use of the interactive table to examine the number and characteristics of road segments by county. This view shows the top 10 counties based on the number of total road segments.

– click graphic for larger view

Using TIGER/Line with CV XE GIS
These operations require a Windows computer with Internet connection
1. Install the ProximityOne CV XE GIS
… run the CV XE GIS installer
… take all defaults during installation
2. Download the TIGER Roads project fileset
… requires ProximityOne User Group ID (join now)
… unzip TIGER Roads GIS project files to local folder c:\tiger2016
3. Open the c:\tiger2016\riger2016_kc.gis project
… after completing the above steps, click File>Open>Dialog
… open the file named c:\tiger2016\tiger2016_kc.gis
4. Done. The start-up view is shown at top of this section.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Children’s Demographics by School District

.. data and tools to analyze children’s demographics by school district ..  the ACS 2014 median household income for the Houston ISD, TX (HISD) was $46,069 (all households) compared to $41,896 (grade relevant children’s households). How does economic prosperity (or choose from many other attributes) vary between the total population of an area and to those of total children or grade relevant children by type of enrollment in districts of interest? See related Web section with interactive table.

This section summarizes data and tools to access to the children’s demographic-economic data, based on the 2014 American Community Survey (ACS 2014) school district special tabulation (SDST), for each/all school districts. These data provide insights into the population, social, economic and housing characteristics of total children and grade relevant children — in contrast to the total population and housing. Use the interactive table below to view, rank, compare, query children’s characteristics.

Patterns of Economic Prosperity by School District; Children’s Households
— Median Household Income for Grade Relevant Children Households
The following thematic map shows patterns of median household income for grade relevant children households by school district for Texas and adjacent states. Click graphic for larger view (shows metros). Expand browser to full extent for best quality view.

View developed using CV XE GIS software and associated GIS project.

Additional Views:
Dallas metro area
Houston metro area
Los Angeles metro area

Importance of these Data
The annually updated SDST data are a unique source of data to help stakeholders understand demographic-economic characteristics of total children as well as grade relevant children. The real power of these data is that they enable analysis of children’s living characteristics by type of enrollment (enrolled in public school, enrolled in private school, not enrolled) by school district. For example, in this Houston ISD, TX profile it can be determined that of those grade relevant children who ‘speak English less than “very well”.
– enrolled in public school
… 36,995 or 18.7% of total grade relevant children enrolled public
– enrolled in private school
… 810 or 3.9% of total grade relevant children enrolled private (very low)
– not enrolled
… 3,265 or 30.9% of total grade relevant children not enrolled (very high)

How does Houston ISD compare to Dallas ISD? … to Los Angeles Unified? … use these data to find out. Whether ability to speak English, or other living/demographic environmental characteristics, these are among the factors that can primarily influence educational outcomes.

Comparing the Number of Households
The total number of households compared to the number of households with grade relevant children is often in the range of 3-to-4 to 1. The following table shows illustrative examples for selected districts.

Scope of the School District Special Tabulation
The School District Special Tabulation is a tabulation of the characteristics of children who reside within the boundaries of a school district. Note that such residents/children might attend a school located outside of the school district of residence. Subject matter items are tabulated for these seven universes:
• all children — population ages 0-19, 18 & 19 not high school graduates
• all school age, grade relevant children
– children enrolled
– children enrolled in public school
– children enrolled in private school
– relevant children not enrolled
See about related data

Children’s Demographics by Type of Enrollment
  — Interactive Table
The following graphic illustrates use of the interactive table to rank districts by total relevant children and views percentage distributions by type of enrollment. Note that among the largest 10 districts, Las Vegas (Clark County, NV) has the largest percent not enrolled (12.x% — far right column). Use the full interactive table to compare contrast district based on your criteria.

– click graphic for larger view.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn

Navigating the U.S. Federal Statistical System

.. an overview of the Federal statistical system and how to access data  .. the U.S. Federal Statistical System offers a vast array of diverse data resources that are useful in wide-ranging planning and analytical applications. Many of these data resources, such as census block level demographics from the decennial census, are unique in scope and content; in many cases there are no alternative data resources.

But there are issues/challenges for the data user to navigate the Federal Statistical System. Examples … the Bureau of Labor Statistics releases total employment data by county quarterly and monthly through multiple programs. The data values differ, for methodological reasons, but the net result can be confusion. The Census Bureau releases total employment data from many statistical programs by county both annually and more frequently. Where are these alternative total employment data and how can they be accessed? How do these various measures differ and which data are right for my situation? This section provides basic statistical program information. Subsequent updates will provide more detail.

This section provides an overview of the U.S. Federal Statistical System (FSS) and information that can help stakeholders navigate access to selected types of data produced by the FSS. While the FSS is focused on agencies that collect, develop and make available statistical data, there is a broader set of data and resources that relate to accessing and using these data. As technology and related data analytics resources have evolved, access to and use of these data is closely associated with the development of geographic data by Federal statistical and other agencies and Geographic Information Systems (GIS).

The FSS is a decentralized set of agencies that collect, develop and make available statistical and geographic data. The OMB Office of Statistical Programs and Standards (SPS) provides a FSS coordinative role. The SPS establishes statistical policies and standards, identifies priorities for improving programs, evaluates statistical agency budgets, reviews and approves Federal agency information collections involving statistical methods, and coordinates U.S. participation in international statistical activities.

While the FSS spans more than 100 agencies, the 13 “principal statistical agencies” have statistical work as their principal mission. Excluding funding for the decennial census ($919.3 million requested for the Decennial Census for FY 2016), approximately 38 percent ($2,486.9 million of the $6,486.6 million total proposed for FY 2016 President’s budget request) of overall funding for Federal statistical activities (of the Executive Branch) provides resources for these 13 agencies. The principal statistical agencies include:
Census Bureau (Commerce)
Bureau of Economic Analysis (Commerce)
Bureau of Justice Statistics (Justice)
Bureau of Labor Statistics (Labor)
Bureau of Transportation Statistics (Transportation)
Economic Research Service (Agriculture)
Energy Information Administration (Energy)
National Agricultural Statistics Service (Agriculture)
National Center for Education Statistics (Education)
National Center for Health Statistics (CDC/HHS)
National Center for Science and Engineering Statistics NSF/Independent
Office of Research, Evaluation, and Statistics — SSA/Independent
Statistics of Income (IRS)

The remaining 62 percent of the FY 2016 budget involves more than 100 programs that conduct statistical activities in conjunction with another program mission. These statistical programs are components within a Federal department or other agency. They include a broad set of centers, institutes, and organizations in addition to the 13 principal statistical agencies.

There are also Federal agencies whose statistical activities are not part of the Executive Branch. These agencies include the Congressional Budget Office, which develops and applies projection models for the budgetary impact of current and proposed Federal programs; the Federal Reserve Board, which compiles the widely used Flow of Funds report and other statistical series and periodically conducts the Survey of Consumer Finances; and the U.S. Government Accountability Office, which uses statistical data in evaluations of government programs.

Guide to Navigating the Federal Statistical System
The following graphic is a snapshot of the Guide to Navigating the Federal Statistical System. See http://proximityone.com/fss.htm to access the entire guide.

– click graphic for larger view.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn

Analyzing ACS 2014 1-Year Supplemental Data

.. examining 2014 characteristics of areas with population 20,000 and over  .. this section summarizes how to use the America Community Survey (ACS2014) “supplemental” data (ACS2014S) to access more current estimates than otherwise available. The America Community Survey “supplemental” data are just that, a supplemental set of ACS 2014 1-year estimates — for areas 20,000 population and over. See the related Web section providing more detail.

The importance of the ACS 2014S data are two fold.
1 – 2014 1-year estimates for a larger number of areas than available from the ACS 2014 1-year (ACS2014) estimates.
2 – more current (2014) data for those areas only available from the 5-year estimates (centric to 2012) that are between 20,000 and 65,000 population.

The ten cities/places with the highest 2014 median family income based on 1-year estimates were all under 65,000 population. These cities were not included in the ACS 2014 1-year standard estimates but were included in the ACS 2014 1-year supplemental estimates. See list below.

This section provides an overview of the ACS 2014 supplemental data and provides a summary of tools, interactive table and GIS project, to analyze characteristics of these areas. These data are used by ProximityOne to develop/update annual county demographic-economic projections. See schedule of related 2016 updates.

Scope of Expanded Geography Available
As shown in the table below, 2014 1-year “supplemental” estimates are available for more than twice as many counties from the ACS2014S compared to the ACS2014 “standard” 1-year estimates. However, there area a more limited set of subject matter data available from the ACS2014S data compared to both the ACS 2014 1-year and 5-year estimates.

MSA/MISA: Metropolitan Statistical Areas/Micropolitan Statistical Areas Counties: county and county equivalent

ACS 2014S Data Availability by County
The following graphic shows the additional counties for which ACS 2014 1-year estimates are available using the “supplemental” data.
• ACS 2014 1-year “standard” estimate counties — blue fill pattern
• ACS 2014 1-year “supplemental” estimate counties — orange fill pattern
• Only ACS 2014 5-year estimates available for remaining counties
Click graphic for larger view; expand browser window for best quality view. The larger view shows metropolitan area (MSA) boundaries. Note that for example, ACS 2014 1 year data are available for all counties in the Austin and San Antonio metros (see pointer) — previously unavailable..

.. view developed with ProximityOne CV XE GIS and related GIS project.
.. any CV XE GIS user can create this view using the default US1.GIS project

ACS2014S Tables — scroll section
The ACS 2014 supplemental data include 42 tables and a total of 229 data items. Br> The table number and descriptions are summarized below.

View full table/item detail in tables shells: ACS 2014S Table shells (xls)

ACS 2014 Selected Supplemental Items for Selected Geography
  — interactive table
The interactive table contains all geography for which the ACS2014S data have been tabulated for these geographies: U.S., state, county, city/place, 114th Congressional District, MSA/MISA, PUMA, urban area and school district. The table provides access to key selected items.

The following graphic illustrates use of the interactive table. First cities/places were selected using the Type drop-down below the table. Next, the table is ranked in descending order on median family income. As shown in the graphic the largest 10 cities/places were under 65,000 population. Click graphic for larger view.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Daytime Population by Census Tract & Neighborhood

.. examining workers living/working in area .. population change due to commuting & employment/residence ratio .. the concept of the daytime population refers to the number of people who are present in an area during normal business hours, including workers. This is in contrast to the resident population present during the evening and nighttime hours. Information on the expansion or contraction experienced by different communities/areas between nighttime and daytime populations is important for many planning purposes, including those dealing with market size, trade/service areas, transportation, disaster, and relief operations. See related Web section with more detail.

This section reviews use of analytical tools to examine daytime population and related measures by census tract using GIS resources. These data are based on the 2013 American Community Survey 5-year estimates (ACS2013).

Topics:
• Patterns of Resident Population by Census Tract
• Patterns of Daytime Population Census Tract
• Patterns of Employment-Residence Ratio by Census Tract

Patterns of Resident Population by Census Tract
The following graphic shows patterns of the resident population by census tract for the Los Angeles area. Census tracts are statistical areas designed to average 4,000 population as reflected in this view. See population size/color intervals in inset legend. Primary roads are shown in the graphic; the pointer shows the Los Angeles-Orange County boundary. Click graphic for larger view. Expand browser window for best quality view. The larger graphic shows Los Angeles city as a cross-hatched overlay. This graphic is presented to compare/contrast patterns of the daytime population shown in the next graphic.

– View created with CV XE GIS.

See more about the Los Angeles metro and California state & regional data resources.

Patterns of Daytime Population Census Tract
The following graphic shows patterns of the daytime population by census tract for the Los Angeles area. This graphic is presented to compare/contrast patterns of the daytime population shown in the above graphic. As the employed population commutes during the data, the daytime population of census tracts change as reflected in this view. See population size/color intervals in inset legend. Primary roads are shown in the graphic; the pointer shows the Los Angeles-Orange County boundary. Click graphic for larger view. Expand browser window for best quality view. The larger graphic shows Los Angeles city as a cross-hatched overlay.

View created with CV XE GIS. Click graphic for larger view.

Patterns of Employment-Residence Ratio by Census Tract
The following graphic shows patterns of the Employment-Residence (E-R) Ratio by tract for the Los Angeles area. See E-R/color intervals in inset legend. See about the E-R ratio below. Primary roads are shown in the graphic; the pointer shows the Los Angeles-Orange County boundary. Click graphic for larger view. Expand browser window for best quality view. The larger graphic shows Los Angeles city as a cross-hatched overlay.

View created with CV XE GIS. Click graphic for larger view.

About the Employment-Residence (E-R) Ratio
The E-R ratio is a measure of the total number of workers working in the area, relative to the total number of workers living in the area. The E-R ratio is used sn indicator of the jobs-workers balance in an area. A value greater than 1.00 shows there are more workers working in the area than living there (net importers of labor). A value of less than 1.00 is shown in areas that send more workers to other areas than they receive (net exporters of labor).

See related Web section for information on daytime population terms and concepts.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.