Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Warren County, MO
Series ID MHICILBMO29219A052NCEN
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 2:33 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 25652
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30508
1994-01-01 .
1995-01-01 33310
1996-01-01 .
1997-01-01 35757
1998-01-01 36682
1999-01-01 37912
2000-01-01 39472
2001-01-01 39326
2002-01-01 40505
2003-01-01 41840
2004-01-01 44028
2005-01-01 42630
2006-01-01 45654
2007-01-01 46372
2008-01-01 42529
2009-01-01 45650
2010-01-01 44784
2011-01-01 46318
2012-01-01 44981
2013-01-01 47483
2014-01-01 47679
2015-01-01 46722
2016-01-01 49274
2017-01-01 53920
2018-01-01 57418
2019-01-01 59555
2020-01-01 60691
2021-01-01 63534
2022-01-01 66869
2023-01-01 71309

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