Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cole County, MO
Series ID MHICILBMO29051A052NCEN
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 3:13 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 29538
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33284
1994-01-01 .
1995-01-01 36108
1996-01-01 .
1997-01-01 39388
1998-01-01 40679
1999-01-01 40304
2000-01-01 41447
2001-01-01 41500
2002-01-01 42035
2003-01-01 44039
2004-01-01 44817
2005-01-01 44012
2006-01-01 46027
2007-01-01 45398
2008-01-01 52090
2009-01-01 49089
2010-01-01 48934
2011-01-01 50344
2012-01-01 48552
2013-01-01 48308
2014-01-01 49414
2015-01-01 52760
2016-01-01 52667
2017-01-01 51030
2018-01-01 59260
2019-01-01 58212
2020-01-01 56004
2021-01-01 59260
2022-01-01 64208
2023-01-01 67783

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