Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cole County, MO
Series ID MHICIUBMO29051A052NCEN
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 3:12 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 34024
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37782
1994-01-01 .
1995-01-01 42233
1996-01-01 .
1997-01-01 45568
1998-01-01 46788
1999-01-01 45857
2000-01-01 48105
2001-01-01 47549
2002-01-01 48191
2003-01-01 49931
2004-01-01 50801
2005-01-01 50939
2006-01-01 51697
2007-01-01 52669
2008-01-01 59277
2009-01-01 55848
2010-01-01 56736
2011-01-01 58448
2012-01-01 54558
2013-01-01 55738
2014-01-01 54356
2015-01-01 60026
2016-01-01 58867
2017-01-01 59600
2018-01-01 66374
2019-01-01 65482
2020-01-01 70968
2021-01-01 68684
2022-01-01 77466
2023-01-01 80221

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