Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hood County, TX
Series ID MHICIUBTX48221A052NCEN
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 1:51 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 33642
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35785
1994-01-01 .
1995-01-01 40874
1996-01-01 .
1997-01-01 42028
1998-01-01 43171
1999-01-01 44864
2000-01-01 48349
2001-01-01 47019
2002-01-01 48119
2003-01-01 48947
2004-01-01 50463
2005-01-01 51437
2006-01-01 56141
2007-01-01 55941
2008-01-01 63401
2009-01-01 59113
2010-01-01 56212
2011-01-01 51767
2012-01-01 60785
2013-01-01 63337
2014-01-01 60751
2015-01-01 64746
2016-01-01 62317
2017-01-01 70774
2018-01-01 66286
2019-01-01 81207
2020-01-01 89216
2021-01-01 74603
2022-01-01 83069

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