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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jasper County, MO
Series ID MHICILBMO29097A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:08 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 19396
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23276
1994-01-01 .
1995-01-01 25045
1996-01-01 .
1997-01-01 26766
1998-01-01 28271
1999-01-01 29097
2000-01-01 30086
2001-01-01 29408
2002-01-01 29433
2003-01-01 30537
2004-01-01 30966
2005-01-01 31463
2006-01-01 32468
2007-01-01 34405
2008-01-01 35846
2009-01-01 36244
2010-01-01 35811
2011-01-01 36841
2012-01-01 35606
2013-01-01 38646
2014-01-01 37105
2015-01-01 41622
2016-01-01 41795
2017-01-01 43402
2018-01-01 44228
2019-01-01 42956
2020-01-01 47061
2021-01-01 48320
2022-01-01 51846
2023-01-01 50221
2024-01-01 57817

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