Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calhoun County, TX
Series ID MHICILBTX48057A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 21012
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24851
1994-01-01 .
1995-01-01 26053
1996-01-01 .
1997-01-01 27724
1998-01-01 30262
1999-01-01 32141
2000-01-01 33781
2001-01-01 32790
2002-01-01 32012
2003-01-01 33105
2004-01-01 33634
2005-01-01 35528
2006-01-01 35635
2007-01-01 37981
2008-01-01 39076
2009-01-01 38229
2010-01-01 39358
2011-01-01 40101
2012-01-01 40785
2013-01-01 47269
2014-01-01 42011
2015-01-01 46344
2016-01-01 49467
2017-01-01 50765
2018-01-01 46872
2019-01-01 50487
2020-01-01 49949
2021-01-01 64488
2022-01-01 57022
2023-01-01 60782

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