Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Eastland County, TX

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Eastland County, TX
Series ID MHICIUBTX48133A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:09 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 19296
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21132
1994-01-01 .
1995-01-01 23929
1996-01-01 .
1997-01-01 25782
1998-01-01 27543
1999-01-01 27857
2000-01-01 29709
2001-01-01 28861
2002-01-01 29142
2003-01-01 30013
2004-01-01 31363
2005-01-01 32528
2006-01-01 34279
2007-01-01 36945
2008-01-01 38733
2009-01-01 35568
2010-01-01 35528
2011-01-01 40408
2012-01-01 40958
2013-01-01 43364
2014-01-01 39792
2015-01-01 46251
2016-01-01 41730
2017-01-01 43897
2018-01-01 49410
2019-01-01 52635
2020-01-01 57391
2021-01-01 52975
2022-01-01 59632

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