Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harrison County, TX
Series ID MHICIUBTX48203A052NCEN
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 25221
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27791
1994-01-01 .
1995-01-01 30925
1996-01-01 .
1997-01-01 32866
1998-01-01 33747
1999-01-01 34051
2000-01-01 36530
2001-01-01 35672
2002-01-01 35575
2003-01-01 36738
2004-01-01 37904
2005-01-01 39466
2006-01-01 42740
2007-01-01 43749
2008-01-01 48727
2009-01-01 46676
2010-01-01 48327
2011-01-01 47148
2012-01-01 48595
2013-01-01 47321
2014-01-01 52834
2015-01-01 50736
2016-01-01 51306
2017-01-01 54569
2018-01-01 54712
2019-01-01 60498
2020-01-01 60528
2021-01-01 61574
2022-01-01 69270

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