Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harris County, TX
Series ID MHICILBTX48201A052NCEN
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 28213
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32958
1994-01-01 .
1995-01-01 34129
1996-01-01 .
1997-01-01 37089
1998-01-01 38686
1999-01-01 39507
2000-01-01 39020
2001-01-01 41164
2002-01-01 40612
2003-01-01 40357
2004-01-01 40054
2005-01-01 43247
2006-01-01 46387
2007-01-01 49235
2008-01-01 51775
2009-01-01 49861
2010-01-01 49904
2011-01-01 50274
2012-01-01 50649
2013-01-01 51706
2014-01-01 53235
2015-01-01 55785
2016-01-01 55615
2017-01-01 57338
2018-01-01 59424
2019-01-01 60866
2020-01-01 60599
2021-01-01 62106
2022-01-01 67293

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