Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, TX
Series ID MHICIUBTX48057A052NCEN
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 3:11 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 25607
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29318
1994-01-01 .
1995-01-01 31761
1996-01-01 .
1997-01-01 33509
1998-01-01 36043
1999-01-01 36427
2000-01-01 39017
2001-01-01 37479
2002-01-01 36680
2003-01-01 37452
2004-01-01 38042
2005-01-01 42192
2006-01-01 42505
2007-01-01 45663
2008-01-01 47170
2009-01-01 46697
2010-01-01 46132
2011-01-01 46577
2012-01-01 48687
2013-01-01 54739
2014-01-01 51399
2015-01-01 55402
2016-01-01 56365
2017-01-01 59715
2018-01-01 57298
2019-01-01 61331
2020-01-01 66991
2021-01-01 76836
2022-01-01 68462
2023-01-01 76988

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