Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Eastland County, TX
Series ID MHICILBTX48133A052NCEN
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 1:53 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 14736
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16551
1994-01-01 .
1995-01-01 17681
1996-01-01 .
1997-01-01 19491
1998-01-01 21183
1999-01-01 24432
2000-01-01 25523
2001-01-01 25127
2002-01-01 25361
2003-01-01 26448
2004-01-01 27617
2005-01-01 28433
2006-01-01 28573
2007-01-01 30726
2008-01-01 31784
2009-01-01 30121
2010-01-01 30298
2011-01-01 33114
2012-01-01 34874
2013-01-01 36554
2014-01-01 33390
2015-01-01 37637
2016-01-01 33848
2017-01-01 35343
2018-01-01 40136
2019-01-01 41347
2020-01-01 43243
2021-01-01 42077
2022-01-01 47070

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