Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Texas County, MO
Series ID MHICILBMO29215A052NCEN
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 2:33 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 14387
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16595
1994-01-01 .
1995-01-01 17846
1996-01-01 .
1997-01-01 19641
1998-01-01 20717
1999-01-01 22958
2000-01-01 23503
2001-01-01 23097
2002-01-01 23264
2003-01-01 24517
2004-01-01 25510
2005-01-01 25854
2006-01-01 26343
2007-01-01 27180
2008-01-01 28042
2009-01-01 28880
2010-01-01 29663
2011-01-01 29483
2012-01-01 29219
2013-01-01 31646
2014-01-01 30359
2015-01-01 31644
2016-01-01 30397
2017-01-01 31042
2018-01-01 31681
2019-01-01 34596
2020-01-01 33338
2021-01-01 37200
2022-01-01 42148
2023-01-01 41760

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