Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Houston County, TX
Series ID MHICILBTX48225A052NCEN
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 15390
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19097
1994-01-01 .
1995-01-01 19597
1996-01-01 .
1997-01-01 22052
1998-01-01 23357
1999-01-01 25427
2000-01-01 26663
2001-01-01 25993
2002-01-01 25641
2003-01-01 26298
2004-01-01 26844
2005-01-01 27555
2006-01-01 26840
2007-01-01 30405
2008-01-01 30015
2009-01-01 29977
2010-01-01 30172
2011-01-01 29019
2012-01-01 30716
2013-01-01 31582
2014-01-01 30510
2015-01-01 34437
2016-01-01 31095
2017-01-01 34088
2018-01-01 35341
2019-01-01 39295
2020-01-01 39908
2021-01-01 42109
2022-01-01 44543

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