In This Issue
Using Model-Based Estimates for Income Trends
Ending Mass Incarceration Where It Begins
Bureau of Labor Statistics and Employment Projections
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Issue: #504

December 6, 2017  

The Census Information Center of Eastern Oklahoma, a program of the provides access to data generated from the U.S. Census Bureau.

Uncovering Trends in Income and Poverty Using Model-Based Estimates
From: U.S. Census Bureau,  Census Blogs

Each year, the U.S. Census Bureau's  Small Area Income and Poverty Estimates (SAIPE) program  models estimates of income and poverty for small geographies. The program's main goal is to provide the  U.S. Department of Education  with yearly estimates of children in poverty as the basis for allocating  Title I  funding to school districts. In order to estimate school district level poverty, the SAIPE model begins by estimating poverty at the state and county levels, which act as controls for smaller geographic poverty estimates. 
 
In Our Backyards: Ending Mass Incarceration Where It Begins
From: Vera Institute

The geography of mass incarceration has shifted dramatically. The highest incarceration rates are no longer in the nation's big cities, but rather in the thousands of often overlooked smaller cities, towns and rural areas that comprise nearly half the U.S. population. This untold story calls for ending mass incarceration where it begins - in all of our backyards.
Full Employment: An Assumption within Bureau of Labor Statistics Projections
From: Bureau of Labor Statistics

The Bureau of Labor Statistics (BLS) defines full employment as an economy in which the unemployment rate equals the non-accelerating inflation rate of unemployment (NAIRU), no cyclical unemployment exists, and GDP is at its potential. The full-employment assumption links BLS projections to an economy running at full capacity and utilizing all of its resources.

Until Next Week,

Melanie Poulter
Program Manager
Census Information Center of Eastern Oklahoma
mpoulter@csctulsa.org
       


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