Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Polk County, MO
Series ID MHICIUBMO29167A052NCEN
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 1:52 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 21255
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24315
1994-01-01 .
1995-01-01 27805
1996-01-01 .
1997-01-01 29572
1998-01-01 31161
1999-01-01 30987
2000-01-01 32687
2001-01-01 31650
2002-01-01 32233
2003-01-01 33458
2004-01-01 34891
2005-01-01 36179
2006-01-01 36519
2007-01-01 38155
2008-01-01 41805
2009-01-01 39128
2010-01-01 37591
2011-01-01 40873
2012-01-01 40055
2013-01-01 41342
2014-01-01 41059
2015-01-01 44493
2016-01-01 47900
2017-01-01 48078
2018-01-01 49495
2019-01-01 50020
2020-01-01 57376
2021-01-01 58356
2022-01-01 57698

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