Category Archives: Patterns

How the New York Metro is Changing

.. or more precisely, how the New York Metropolitan Statistical Area (MSA) is changing. As of Census 2010 the New York MSA (officially the New York-Newark-Jersey City, NY-NJ-PA MSA) consisted of 20 counties. With the new OMB metropolitan statistical areas defined as of February 2013, the New York MSA became 22 counties, absorbing the Poughkeepsie, NY MSA two counties (Dutchess and Orange). The Poughkeepie MSA was removed from the official MSAs. The delineation remained that way until the new September 2018 delineations when the Census 2010 delineation was restored. Now, the Poughkeepsie, NY MSA exists as a 2 county area and the New York MSA exists as a 20 county area (both as they existed geographically in Census 2010).

These metro-county relationships are shown in the graphic presented below. The Poughkeepsie, NY MSA is shown with the blue cross-hatch to the north and the New York MSA is shown with the salmon color pattern.

– view developed using the CV XE GIS software and related GIS project.
– see the related New York Metro Situation & Outlook report.

What Difference Does it Make?
A lot! First, during the interim period 2013-2018, the Poughkeepsie, NY MSA lost the metropolitan area identity/status as conferred by the OMB delineations. It might have been omitted from size class market development and research analyses. Related, that metro was not included as a tabulation or estimation area of MSAs by Federal statistical agencies. An example of the impact is that the official demographic estimates for the Poughkeepsie, NY MSA developed by the Census Bureau were not tabulated as such and omitted from various statistical reports. Also, the removal of designation and now adding the designation back, creates a hiccup in the time series — affecting both the Poughkeepsie NY MSA and the New York MSA.

Detailed Demographic Profiles for New York MSA and Poughkeepsie, NY MSA
.. click link to view profile.

New York-Newark-Jersey City, NY-NJ-PA MSA
  Bergen County, NJ (34003)
  Essex County, NJ (34013)
  Hudson County, NJ (34017)
  Hunterdon County, NJ (34019)
  Middlesex County, NJ (34023)
  Monmouth County, NJ (34025)
  Morris County, NJ (34027)
  Ocean County, NJ (34029)
  Passaic County, NJ (34031)
  Somerset County, NJ (34035)
  Sussex County, NJ (34037)
  Union County, NJ (34039)
  Bronx County, NY (36005)
  Kings County, NY (36047)
  Nassau County, NY (36059)
  New York County, NY (36061)
  Putnam County, NY (36079)
  Queens County, NY (36081)
  Richmond County, NY (36085)
  Rockland County, NY (36087)
  Suffolk County, NY (36103)
  Westchester County, NY (36119)
  Pike County, PA (42103)

Poughkeepsie-Newburgh-Middletown, NY (CBSA 39100)
  Dutchess County, NY (36027)
  Orange County, NY (36071)

Looking Forward
The September 2018 CBSA delineations define counties that will be used for Census 2020 (likely, there could be yet further changes) — 384 MSAs in the U.S. In the cases of the New York MSA and the Poughkeepsie, NY MSA, it appears that the geography (component counties) used for Census 2010 will be the same as for Census 2020. Going forward, ProximityOne estimates and projections will use the most current vintage of CBSAs.

Data Analytics Web Sessions
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.

Census Block, Block Group & Census Tract GeoDemographics

Census tracts, block groups and blocks are the important small area statistical geographic areas for which data from Census 2010 are tabulated. Data for census tracts and block groups are also tabulated annually from the American Community Survey. For example. in December 2018, we will have new “richer demographics” annual estimates centric to each year 2008 through 2015 for Census 2010 tracts and block groups … data such as educational attainment, language spoken, housing and household characteristics,  income characteristics and employment and other demographic-economic attributes.

Largest Population New York City (NYC) Census Blocks
The following graphic shows the NYC Census 2010 census block having the largest Census 2010 population that is not a group quarters population block. The Lincoln Center census block shown in the graphic (red boundary) has 4,067 population and 2,922 housing units.

– click graphic for larger view; view developed using CV XE GIS

This block (36 061 015500 6000) occupies 0.033 square miles. It has a population density of 122,333 (population per square mile). The NYC block with the largest population is on Rikers Island and has a group quarters population of 8,634 and 0 housing units. For Census 2010, there were 350,169 census blocks covering the state of New York; 13,356 census blocks were water blocks. For the State of New York, as of Census 2010 the average census block population was 55 (57 excluding water blocks).

Census 2010 and Census 2020
These geographies have generally stable geographic areas and codes from one decennial census (e.g., Census 2010) to the next (e.g., Census 2020). Many of these areas will change in terms of code and area for Census 2020, though the geographic changes will typically be small or not at all.

Census 2020 block, block group and tract codes and geometry will be available in late 2020. Initial block level demographics will be available in March 2021.

Census 2010 & Current GeoDemographics
These areas cover the U.S. from wall-to-wall and generally non-changing in terms of boundary and geographic code (geocode) until Census 2020. This section provides a summary of new Web pages with more detail about each of these geographies:
census tracts and tract codes .. 73,056 areas
census block groups and block group codes .. 217,740 areas
census blocks and block codes .. 11,078,297 areas

Each of these pages provides an interactive table to view tallies of Census 2010 for each of these small area geographies.

Combining Address Data with Small Area Geography
The address of the Office of the California Secretary of State, located at 1500 11th St, Sacramento, CA 95814, was geocoded using the APIGeocoder and converted into a shapefile for Geographic Information System applications.  The location is shown as a red marker in the map views shown below, illustrating each type of small area geography: tracts. block groups and blocks.

Census Tracts
Tracts are labeled with green tract codes. Address 1500 11th St, Sacramento, CA 95814 is shown by red marker.  The address is in tract 06067001101.

View created using CV XE GIS.

Block Groups
Block groups are labeled with red block group codes.  Tract 06067001101 is comprised of block groups: 060670011011 and 060670011012.  See pointer in map view; the block group within tract boundary.

View created using CV XE GIS.

Zoom-in to Census Block
Blocks are labeled with yellow block codes. The address is located in block 060670011011085.

View created using CV XE GIS.

Further Zoom-in Showing Streets
Streets are labeled with street names. Identify tool is used to show mini-profile for 1500 block of 11th Street.

View created using CV XE GIS.

Is the tract code 11.01 or 001101?
Both. Census tracts within a county are identified by a 4-digit basic code between 0001 and 9999, and may have a 2-digit suffix ranging from .01 to .98; for example, 6059.02. The decimal point separating the 4-digit basic tract code from the 2-digit suffix is shown in Census Bureau printed reports and maps. For geo-referencing, the decimal point is implied and does not appear; the 6-character tract code with lead zeroes is used — a character string with no blanks and all numbers.

Accessing and Using these Geographies & Related Demographics
There are several ways these geographies can be used.
• The geocodes are the “handles” to access demographic-economic statistical data.
• The geographies may be visually, geospatially, related as shapefiles.
.. the Census Bureau makes these shapefiles available for use in user appications.
.. the shapefiles typically do not include demographic-economic data.

Access Census 2010 Census Block (and Block Group/Tract) data:
• P.L. 94-171 Redistricting Data — http://proximityone.com/cen2010_pl94171.htm
• Summary File 1 — http://proximityone.com/cen2010_sf1.htm

Access Census Block Group and Tract richer demographics:
• 2016 American Community Survey (ACS) 5-year estimates
  — http://proximityone.com/acs1216.htm
• Access annual counterparts to above section
• Census blocks — http://proximityone.com/cenblk.htm
• Census block groups — http://proximityone.com/blockgroups.htm
• Census tracts — http://proximityone.com/tracts.htm

Alternatively use the Census Bureau APIs or CV XE GIS APIGateway.

Data Analytics Web Sessions
.. is my area urban, rural or …
.. how do census blocks relate to congressional district? redistricting?
.. how can I map census block demographics?
Join me in a Data Analytics Web Session, every Tuesday, where we review access to and use of data, tools and methods relating to GeoStatistical Data Analytics Learning. We review current topical issues and data — and how you can access/use tools/data to meet your needs/interests.

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.

School District Revenue & Expenditure Patterns, FY 2016

.. many school districts are adopting 4-day school weeks.  Part of the reason is shortage of funds.  The amount spent per student for public elementary-secondary education for all 50 states and D.C. increased by 3.2 percent to $11,762 during the 2016 fiscal year, based on new data from the Census Bureau released May 21, 2018. The increase in spending in 2016 was due in part to the increase in revenue across all 50 states and D.C. In 2016, public elementary-secondary education revenue, from all sources, amounted to $670.9 billion, up 4.6 percent from the prior year. This is the largest increase since 2007. Yet for many districts this is not enough.

This section provides access to tools and data to to examine K-12 school district finances — sources and uses of funds for FY 2016. The Census Bureau collects these data annually to meet to needs of the National Center for Education Statistics. ProximityOne restructures and integrates these data with other data for GIS/geospatial analysis using the CV XE GIS tools and School District GeoDemographic Information System (SDGIS).

View annual school district finances Web sections: FY 2014 .. FY 2015 .. FY 2016
• Use interactive table to examine school system finances
• Create/view profile for a district(s) of interest.

Current Spending per Student by School District, FY 2016
The following graphic shows patterns of current spending per student by school district, FY 2016, for Texas and adjacent areas. The four largest Texas metros are shown with the bold brown boundary; counties with gray boundaries. Color/fill patterns and corresponding values are shown in the inset legend. Click graphic for larger view showing a partial mini-profile for Houston ISD (at pointer in map).

– view developed using the CV XE GIS analytical tools.
– use these tools on your computer to examine these data & related geography/subject matter.

Data Analytics Web Sessions
Join me in a Data Analytics Web Session, every Tuesday, where we review access to and use of data, tools and methods relating to GeoStatistical Data Analytics Learning. We review current topical issues and data — and how you can access/use tools/data to meet your needs/interests.

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.
 

Insights into County/Metro Business Establishment Patterns

.. new data, released this past week, enable us to better assess county and metro business establishment patterns .. these data help businesses understand how sales of their products and services align with markets .. what counties might be underserved? .. where should marketing and sales operations be ramped up or reduced in scope/reallocated? .. what do these tell us us about organization of market territories? how are these characteristics trending by county? Use the this interactive table to examine business establishments characteristics by county and metro by type of business. See more detail in the related Web section about topics covered in this post. 

• U.S. establishments rose 1.2% from 7,663,938 in 2015 to 7,759,807 in 2016.
• First quarter employment was up 2.1% from 124,085,947 to 126,752,238
• Annual payroll was up 2.9% from $6.3 trillion in 2015 to $6.4 trillion in 2016.

Based on the 2016 data (new April 2018), there are 7.3 million establishments in Metropolitan Statistical Areas (MSAs). In these MSAs ..
• 5.3 million establishments have fewer than 10 employees.
• 6,522 of these establishments have 1,000 or more employees.
• 374 of these establishments have 5,000 or more employees.

MSAs by Number of Establishments with 1,000 or more Employees
The following graphic shows Metropolitan Statistical Areas (MSAs) by number of establishments with 1,000 or more employees. Click graphic for larger view view showing metros labeled with number of these establishments. Expand brower to full window for best quality view.
.. View developed with CV XE GIS software and related GIS project.

Business Establishment Characteristics Updated in Metro Reports
Examine 2014, 2015, 2016 mini trend profiles for establishments by 2-digit sector in Metro Situation & Outlook Reports Choose any MSA by clicking column 3 in this table .. then view section 6.3. Examples:
New York .. Los Angeles .. Miami .. Chicago .. Dallas .. Houston .. Denver .. Seattle

Gaining Insights
Gain insights into these types of patterns by county by detailed type of business (NAICS). Use the interactive table below to examine business establishment characteristics for counties and metros of interest. Data reviewed in this section are based on the Census-sourced County Business Patterns released in April 2018. We have integrated current population estimates with the establishment data in the interactive table.

Tools You Can Use
• create maps and geospatially analyze business establishments at 6-digit industry detail with ready-to-use GIS project/tools .. see related section for details.
• Use the APIGateway tools to build custom business establishment datasets.
• Use the interactive table to query/view sort business establishment characteristics by county and metro.

Data Analytics Web Sessions
Join me in a Data Analytics Web Session, every Tuesday, where we review access to and use of data, tools and methods relating to GeoStatistical Data Analytics Learning. We review current topical issues and data — and how you can access/use tools/data to meet your needs/interests.

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.

2018 U.S. & World Population

.. Welcome to 2018 .. how the U.S. and world are changing …

This section updates January 1, 2019, with corresponding 2019 updates and additional details. Please follow (click follow button at upper right) to receive updates.

The Census Bureau estimates the U.S. population is 326,971,407 as of January 1, 2018. This represents an increase of 2,314,238, or 0.71 percent, from New Year’s Day 2017. Since Census Day (April 1) 2010, the population has grown by 18,225,587, or 5.90 percent.

In January 2018, the U.S. is expected to experience one birth every 8 seconds and one death every 10 seconds. Meanwhile, net international migration is expected to add one person to the U.S. population every 29 seconds. The combination of births, deaths and net international migration will increase the U.S. population by one person every 18 seconds.

The world population on January 1, 2018 is estimated to be 7,444,443,881. The world has experienced a population increase of 78,521,283, or 1.07 percent, from New Year’s Day 2017. During January 2018, 4.3 births and 1.8 deaths are expected worldwide every second.

Patterns of Population Change by State, 2010-2017
The following graphic shows patterns of percent population change from 2010 to 2017. Use the associated GIS project to examine different years or subject matter items. Click graphic for larger view; expand browser window for best quality view.

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

How the U.S. Population is Changing
The following graphic shows how the population of the U.S. has changed from 2010 to 2017 and how the population might change 2018 through 2020. Click graphic for large view. The population is as of July 1 for each year. The components of change (birth, deaths and migration) are for the period July 1 through June 30 for that year.

Population for each year is computed by the population identity equation:
  P[t]=P[t-1] + B[t,t-1] -D[t,t-1] + M[t,t-1]
Viewing the larger image, see how each of the components of change are impacting the total population and population change.
… see more detail about these data for the U.S. and by state at http://proximityone.com/states2017.htm.

More About Population Trends, Patterns and Characteristics
See more about how population dynamics; use the interactive tables in these sections:
  • School Districts — http://proximityone.com/sdtrends.htm
  • Cities — http://proximityone.com/places2016.htm
  • Counties — http://proximityone.com/countytrends2016.htm
  • Metros — http://proximityone.com/metrotrends2016.htm
  • States — http://proximityone.com/states2017.htm

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.

Congressional District/State Legislative District Data Analytics Sessions

.. join me in the Congressional District/State Legislative District Data Analytics Sessions .. http://proximityone.com/cdsld/cdsld_vasessions.htm .. face-to-face sessions in the Washington, DC area.

Legislative Districts & Patterns of Neighborhood Economic Prosperity
Census tracts labeled with median household income in context VA House District 11 (bold blue boundary) in Fairfax County, VA. Use the GIS project to examine any state legislative district.

— click for larger view
— view created using CV XE GIS & associated GIS project.

CDSLD Sessions These sessions are focused on tools, data and analytical methods relating to Congressional Districts (115th CDs) and State Legislative Districts (2016 cycle SLDs). We focus on national and Virginia CDs and SLDs in context of the total population, voting population, the Citizen Voting Age Population characteristics and patterns with drill down to census blockblock groupcensus tractelection precinctcity/placeZIP codecountymetro and other geography.

Program details as PDF: http://proximityone.com/cdsld/cdsld_vasessions.pdf.

Anyone may attend. There is no fee. There is no promotional content. Sessions are presented by Warren Glimpse an expert on the topics covered. Learn more about the potentials of using these tools, data and methods. Get answers to your questions to learn more about what data are available, options to access the data, how to integrate these data with other data and insights into how you can use and the data. Attend one or many sessions. While there are core topics, new related material and updates are covered in each session. Join in as a continuing program. Develop and extend data analytics skills.

Patterns of Economic Prosperity by VA Senate District
– Virginia Upper/Senate SLDs by Median Household Income

– click graphic for better quality view; districts labeled with district code

More About Congressional Districts & State Legislative Districts
See the related section for more information:
• 115th Congressional Districts ..
.. Main .. http://proximityone.com/cd115.htm
.. demographic-economic tables http://proximityone.com/cd161dp1.htm
• State Legislative Districts Main .. http://proximityone.com/sld2016.htm
.. with demographic-economic interactive table
• Virginia State Legislative Districts .. http://proximityone.com/sld_va.htm
.. interactive table with incumbency details

CDSLD Data Analytics Web Sessions
Unable to join the face-to-face session? Join me in a Data Analytics Web 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.

Examining America’s 10 Largest Urban Areas

.. why it matters .. among other reasons, these 10 areas have 24% of the total U.S. population. Three have increased by more than 20% in the past 5 years.

More than 80-percent of America’s population is urban, but far more than 80-percent of America’s geography is rural. Census 2010 shows that America’s urban population increased by 12.1 percent from 2000 to 2010, compared to the national overall growth rate of 9.7 percent. Urban areas now account for 80.7 percent of the U.S. population, compared to 79.0 percent in 2000.

America’s 10 Largest Urbanized Areas
The following table shows the largest 10 Urbanized Areas (UAs) based on the American Community Survey 2011 and 2016 1-year estimates (ACS2016) and change over the period. UAs are sorted in descending order based on the 2016 population estimate. Note that Atlanta, Dallas and Houston moved up in rank.

Geodemographic relationships vary widely between the urbanized areas (UAs). Some, such as Miami, comprise most or all of the urban area within the corresponding metropolitan statistical area. Others, such as Philadelphia, are nested within a mix of adjacent urban areas interspersed with rural areas. Among other things, these different geodemographic structures reflect how planning, needs assessment and market development vary widely from associated metro-to-metro. These data show the importance and need to consider the urban/rural population distribution even in the largest metros.

Visual Analysis — Dallas Urbanized Area
The urbanized area (UA) of the corresponding metropolitan statistical area (MSA) generally occupies less than half of the MSA.
See the Dallas-Fort Worth-Arlington, TX MSA Situation and Outlook Report

… View developed using CV XE GIS.

Map Views for Each of the Largest 10 Urbanized Areas
Maps for each of the 10 largest UAs are shown at
http://proximityone.com/urbanareas_2016.htm.

Each graphic shows the designated urbanized area in a darker salmon color fill pattern, associated metropolitan statistical area with bold brown boundary, and other urban areas with a lighter shade of salmon fill color, counties black boundaries and yellow labels. The ACS 2016 UA population is shown as a white label under the UA name. The ACS 2016 estimates are the most recent data available and will update with 2017 estimates in late 2018.

More About Analyzing Urban/Rural Patterns and Characteristics
See the related section on America’s urban/rural population and geography:
http://proximityone.com/urbanpopulation.htm.

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 L