Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cass County, MO
Series ID MHICILBMO29037A052NCEN
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 29447
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34209
1994-01-01 .
1995-01-01 37679
1996-01-01 .
1997-01-01 40046
1998-01-01 43084
1999-01-01 45068
2000-01-01 47122
2001-01-01 46845
2002-01-01 47469
2003-01-01 48608
2004-01-01 49865
2005-01-01 52942
2006-01-01 53307
2007-01-01 58411
2008-01-01 58726
2009-01-01 55462
2010-01-01 54930
2011-01-01 52360
2012-01-01 53014
2013-01-01 59557
2014-01-01 58929
2015-01-01 59938
2016-01-01 60622
2017-01-01 61890
2018-01-01 66347
2019-01-01 68060
2020-01-01 77526
2021-01-01 73581
2022-01-01 73597
2023-01-01 80052

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