Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for St. Charles County, MO
Series ID MHICILBMO29183A052NCEN
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 39304
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43828
1994-01-01 .
1995-01-01 47920
1996-01-01 .
1997-01-01 51706
1998-01-01 54157
1999-01-01 53809
2000-01-01 55725
2001-01-01 55940
2002-01-01 57263
2003-01-01 59493
2004-01-01 60787
2005-01-01 61364
2006-01-01 62882
2007-01-01 65162
2008-01-01 70231
2009-01-01 66101
2010-01-01 63051
2011-01-01 64467
2012-01-01 68342
2013-01-01 68229
2014-01-01 71273
2015-01-01 70523
2016-01-01 78090
2017-01-01 79119
2018-01-01 79267
2019-01-01 86789
2020-01-01 85777
2021-01-01 88325
2022-01-01 96561

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