Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hamilton County, TX
Series ID MHICIUBTX48193A052NCEN
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 19223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23264
1994-01-01 .
1995-01-01 26064
1996-01-01 .
1997-01-01 28447
1998-01-01 29663
1999-01-01 31370
2000-01-01 33636
2001-01-01 32296
2002-01-01 31752
2003-01-01 32363
2004-01-01 34867
2005-01-01 35451
2006-01-01 38085
2007-01-01 40781
2008-01-01 41551
2009-01-01 41936
2010-01-01 40375
2011-01-01 41711
2012-01-01 40644
2013-01-01 43256
2014-01-01 45441
2015-01-01 50296
2016-01-01 50184
2017-01-01 49092
2018-01-01 54294
2019-01-01 58662
2020-01-01 61101
2021-01-01 60333
2022-01-01 66990
2023-01-01 66998

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