Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, TX
Series ID MHICIUBTX48313A052NCEN
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 21994
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23982
1994-01-01 .
1995-01-01 26226
1996-01-01 .
1997-01-01 28647
1998-01-01 30823
1999-01-01 30153
2000-01-01 32102
2001-01-01 31267
2002-01-01 31285
2003-01-01 31385
2004-01-01 31607
2005-01-01 34294
2006-01-01 37531
2007-01-01 37752
2008-01-01 40352
2009-01-01 36243
2010-01-01 38392
2011-01-01 38516
2012-01-01 39845
2013-01-01 40963
2014-01-01 43126
2015-01-01 44961
2016-01-01 46938
2017-01-01 46411
2018-01-01 49394
2019-01-01 51100
2020-01-01 62811
2021-01-01 53653
2022-01-01 59877

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