Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Oregon County, MO
Series ID MHICILBMO29149A052NCEN
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 12:51 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 10754
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13936
1994-01-01 .
1995-01-01 16054
1996-01-01 .
1997-01-01 16690
1998-01-01 17790
1999-01-01 20864
2000-01-01 21580
2001-01-01 21086
2002-01-01 21328
2003-01-01 22772
2004-01-01 23958
2005-01-01 23392
2006-01-01 23643
2007-01-01 24736
2008-01-01 23915
2009-01-01 23066
2010-01-01 25209
2011-01-01 25382
2012-01-01 25436
2013-01-01 27118
2014-01-01 26680
2015-01-01 31451
2016-01-01 27084
2017-01-01 28308
2018-01-01 29141
2019-01-01 31613
2020-01-01 31961
2021-01-01 33247
2022-01-01 41625

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