Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ozark County, MO
Series ID MHICIUBMO29153A052NCEN
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 16631
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20135
1994-01-01 .
1995-01-01 23806
1996-01-01 .
1997-01-01 24518
1998-01-01 25204
1999-01-01 25959
2000-01-01 27983
2001-01-01 26780
2002-01-01 26733
2003-01-01 27497
2004-01-01 28742
2005-01-01 30308
2006-01-01 32051
2007-01-01 32507
2008-01-01 33269
2009-01-01 31120
2010-01-01 30957
2011-01-01 33016
2012-01-01 33475
2013-01-01 33466
2014-01-01 34232
2015-01-01 35020
2016-01-01 35044
2017-01-01 36524
2018-01-01 37928
2019-01-01 40286
2020-01-01 44264
2021-01-01 46013
2022-01-01 49261

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