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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for St. Louis City, MO

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for St. Louis City, MO
Series ID MHICILBMO29510A052NCEN
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 1:12 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 16228
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19301
1994-01-01 .
1995-01-01 20833
1996-01-01 .
1997-01-01 23479
1998-01-01 24453
1999-01-01 25284
2000-01-01 26795
2001-01-01 26179
2002-01-01 26045
2003-01-01 26551
2004-01-01 26397
2005-01-01 29503
2006-01-01 29326
2007-01-01 32125
2008-01-01 32247
2009-01-01 32353
2010-01-01 31509
2011-01-01 31112
2012-01-01 30986
2013-01-01 32860
2014-01-01 34114
2015-01-01 36421
2016-01-01 38615
2017-01-01 38984
2018-01-01 41328
2019-01-01 43939
2020-01-01 42528
2021-01-01 47072
2022-01-01 49754

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