Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fayette County, TX
Series ID MHICIUBTX48149A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 22322
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27034
1994-01-01 .
1995-01-01 30336
1996-01-01 .
1997-01-01 32577
1998-01-01 33780
1999-01-01 36140
2000-01-01 38880
2001-01-01 38412
2002-01-01 39347
2003-01-01 40612
2004-01-01 42183
2005-01-01 42883
2006-01-01 42972
2007-01-01 48450
2008-01-01 49457
2009-01-01 50434
2010-01-01 49220
2011-01-01 48464
2012-01-01 51112
2013-01-01 55113
2014-01-01 54212
2015-01-01 57648
2016-01-01 59227
2017-01-01 61513
2018-01-01 61234
2019-01-01 68926
2020-01-01 70857
2021-01-01 70544
2022-01-01 75932
2023-01-01 76666

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