Tag Archives: statistics

Congressional District 2015 Demographic-Economic Characteristics

.. congressional districts vary widely in demographic-economic characteristics.  We have new data for 2015 providing insights to characteristics of the 114th Congressional Districts.  This section summarize a few of these characteristics and provides access to a wide range of data that you can use to view, sort, rank, and compare congressional districts using interactive tables.

Patterns of 2015 Educational Attainment
The following graphic shows patterns of educational attainment (percent college graduate) by congressional district in the Los Angeles area. White label shows the congressional district code; yellow label shows percent college graduate. Legend shows color patterns associated with percent college graduate intervals.

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

How Congressional Districts Compare
Reference items refer to items/columns shown in tables described below.

.. general demographics: congressional district UT03 has the smallest median age (27.5 years — item D017) and FL11 has the highest median age (53.5 years).

.. social characteristics: congressional district KY05 has the fewest number of people who speak English less than “very well” (2,676 — item S113) and FL27 has the largest number (281,053).

.. economic characteristics: congressional district ND00 has the lowest unemployment rate (2.6% — item E009) and MI13 has the highest unemployment rate (14.6%).

.. housing characteristics: congressional district MI13 has the lowest median housing value ($63,100 — item H089) and CA18 has the highest median housing value ($1,139,900).

Access the Detailed Interactive Tables
Click a link to view more thematic pattern maps and use the interactive tables.
.. General Demographics
.. Social Characteristics
.. Economic Characteristics
.. Housing Characteristics

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.

Enhancing the Role of Luck in Your Outcomes

.. or maybe it should be “enhancing the propensity for luck.” Luck often occurs when the environment is favorable to being lucky. Luck is a major factor underlying great things happening. Of course there is also bad luck. Luck comes in small and big bundles. One small piece of luck can change one’s fortunes, broadly defined, in permanent, enormous ways.

This blog generally addresses topics on the role and use of tools and data to know about a situation or trends … or influence favorable outcomes. Luck can play a role to influence favorable outcomes.

Today is a “Friday the 13th.” One of the few days that some are leery about, for no good reason. For me, I don’t think bad things will happen, but it’s on my mind. I might think about it once/twice in the week lead-up, or on that day. Does that create an environment for possibly less luck propensity? Maybe.

While luck is a matter of being at the right place at the right time, it can also be a matter of how one creates expanded opportunities for being in the right place at the right time … and being able to read the situation. Maybe a luck-oriented opportunity requires 2-3 extra steps for it to present itself. Plus other things worthy of dwelling on.

Enjoy your Friday the 13th. Go expand your opportunities for luck to occur; enjoy possible good fortunes. Consider how you can enhance luck propensities to achieve improved outcomes. It is not all strictly chance.

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.