Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mississippi County, MO
Series ID MHICIUBMO29133A052NCEN
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 2:31 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 19141
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21815
1994-01-01 .
1995-01-01 23396
1996-01-01 .
1997-01-01 26114
1998-01-01 26273
1999-01-01 25297
2000-01-01 26500
2001-01-01 25256
2002-01-01 25356
2003-01-01 26960
2004-01-01 27734
2005-01-01 29191
2006-01-01 29364
2007-01-01 30397
2008-01-01 30272
2009-01-01 31838
2010-01-01 32848
2011-01-01 32380
2012-01-01 30950
2013-01-01 34433
2014-01-01 33417
2015-01-01 36467
2016-01-01 35722
2017-01-01 37747
2018-01-01 38245
2019-01-01 41079
2020-01-01 45562
2021-01-01 42723
2022-01-01 47345
2023-01-01 53605

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