Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caldwell County, TX
Series ID MHICIUBTX48055A052NCEN
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 2:31 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 22432
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26002
1994-01-01 .
1995-01-01 29682
1996-01-01 .
1997-01-01 31065
1998-01-01 32978
1999-01-01 36241
2000-01-01 39223
2001-01-01 38152
2002-01-01 38414
2003-01-01 39233
2004-01-01 39677
2005-01-01 41466
2006-01-01 42287
2007-01-01 47665
2008-01-01 49291
2009-01-01 44005
2010-01-01 44950
2011-01-01 44542
2012-01-01 46204
2013-01-01 49586
2014-01-01 50963
2015-01-01 48912
2016-01-01 53618
2017-01-01 56682
2018-01-01 56774
2019-01-01 59479
2020-01-01 72150
2021-01-01 66260
2022-01-01 66555
2023-01-01 69942

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