Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hopkins County, TX
Series ID MHICIUBTX48223A052NCEN
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 1:09 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 24466
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26527
1994-01-01 .
1995-01-01 28175
1996-01-01 .
1997-01-01 31198
1998-01-01 33408
1999-01-01 33335
2000-01-01 35393
2001-01-01 34597
2002-01-01 34038
2003-01-01 34407
2004-01-01 35445
2005-01-01 37482
2006-01-01 39478
2007-01-01 42077
2008-01-01 43027
2009-01-01 39762
2010-01-01 43468
2011-01-01 43109
2012-01-01 42846
2013-01-01 44260
2014-01-01 47586
2015-01-01 47392
2016-01-01 50280
2017-01-01 49206
2018-01-01 55861
2019-01-01 55031
2020-01-01 59911
2021-01-01 61921
2022-01-01 68787

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