Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, MO
Series ID MHICILBMO29071A052NCEN
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 1:12 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 26887
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30758
1994-01-01 .
1995-01-01 34399
1996-01-01 .
1997-01-01 36623
1998-01-01 38331
1999-01-01 39831
2000-01-01 41686
2001-01-01 41242
2002-01-01 41509
2003-01-01 42772
2004-01-01 43603
2005-01-01 44190
2006-01-01 43121
2007-01-01 47703
2008-01-01 46727
2009-01-01 47137
2010-01-01 43682
2011-01-01 44477
2012-01-01 42106
2013-01-01 46808
2014-01-01 49012
2015-01-01 47178
2016-01-01 52221
2017-01-01 52411
2018-01-01 54766
2019-01-01 57922
2020-01-01 55311
2021-01-01 64680
2022-01-01 60277

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