Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hopkins County, TX
Series ID MHICILBTX48223A052NCEN
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 1:11 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 19931
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22021
1994-01-01 .
1995-01-01 21955
1996-01-01 .
1997-01-01 25037
1998-01-01 27344
1999-01-01 29305
2000-01-01 30499
2001-01-01 30158
2002-01-01 29634
2003-01-01 30296
2004-01-01 31222
2005-01-01 32870
2006-01-01 33717
2007-01-01 36133
2008-01-01 36797
2009-01-01 34540
2010-01-01 37424
2011-01-01 37773
2012-01-01 37610
2013-01-01 39466
2014-01-01 40566
2015-01-01 39176
2016-01-01 42884
2017-01-01 40644
2018-01-01 48297
2019-01-01 45633
2020-01-01 47357
2021-01-01 51439
2022-01-01 59711

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