Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Polk County, MO
Series ID MHICILBMO29167A052NCEN
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 1:54 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 16734
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19729
1994-01-01 .
1995-01-01 21658
1996-01-01 .
1997-01-01 23384
1998-01-01 25033
1999-01-01 27185
2000-01-01 28145
2001-01-01 27565
2002-01-01 28063
2003-01-01 29472
2004-01-01 30716
2005-01-01 30427
2006-01-01 30924
2007-01-01 32164
2008-01-01 34823
2009-01-01 32176
2010-01-01 32083
2011-01-01 35351
2012-01-01 35299
2013-01-01 34704
2014-01-01 35629
2015-01-01 38159
2016-01-01 40814
2017-01-01 40350
2018-01-01 41177
2019-01-01 39654
2020-01-01 44006
2021-01-01 49356
2022-01-01 49688

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