Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Warren County, MO
Series ID MHICIUBMO29219A052NCEN
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 1:11 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 30161
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35053
1994-01-01 .
1995-01-01 39422
1996-01-01 .
1997-01-01 41903
1998-01-01 42780
1999-01-01 43190
2000-01-01 45777
2001-01-01 45073
2002-01-01 46464
2003-01-01 47427
2004-01-01 49923
2005-01-01 48887
2006-01-01 53775
2007-01-01 55599
2008-01-01 49030
2009-01-01 52752
2010-01-01 53530
2011-01-01 55228
2012-01-01 53155
2013-01-01 57551
2014-01-01 58239
2015-01-01 57144
2016-01-01 60238
2017-01-01 65526
2018-01-01 66694
2019-01-01 67897
2020-01-01 78665
2021-01-01 78612
2022-01-01 81841

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