Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hood County, TX
Series ID MHICILBTX48221A052NCEN
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 29195
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31280
1994-01-01 .
1995-01-01 34699
1996-01-01 .
1997-01-01 35901
1998-01-01 37136
1999-01-01 39260
2000-01-01 41459
2001-01-01 40921
2002-01-01 41857
2003-01-01 43137
2004-01-01 44489
2005-01-01 43433
2006-01-01 47897
2007-01-01 49518
2008-01-01 53010
2009-01-01 51226
2010-01-01 49054
2011-01-01 45477
2012-01-01 52397
2013-01-01 54769
2014-01-01 50193
2015-01-01 57996
2016-01-01 52375
2017-01-01 58600
2018-01-01 55548
2019-01-01 67861
2020-01-01 81682
2021-01-01 63219
2022-01-01 68021

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