Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ozark County, MO
Series ID MHICILBMO29153A052NCEN
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 3:13 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 12113
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15475
1994-01-01 .
1995-01-01 17616
1996-01-01 .
1997-01-01 18154
1998-01-01 18841
1999-01-01 22699
2000-01-01 24034
2001-01-01 23288
2002-01-01 23228
2003-01-01 24179
2004-01-01 25274
2005-01-01 25279
2006-01-01 26904
2007-01-01 26820
2008-01-01 27584
2009-01-01 25328
2010-01-01 26461
2011-01-01 27552
2012-01-01 29385
2013-01-01 28132
2014-01-01 27818
2015-01-01 28656
2016-01-01 29040
2017-01-01 30044
2018-01-01 30806
2019-01-01 31752
2020-01-01 32948
2021-01-01 36375
2022-01-01 39223
2023-01-01 39638

Subscribe to the FRED newsletter


Follow us

Back to Top