Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ray County, MO
Series ID MHICIUBMO29177A052NCEN
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 1:52 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 28856
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33674
1994-01-01 .
1995-01-01 36924
1996-01-01 .
1997-01-01 39988
1998-01-01 41747
1999-01-01 43412
2000-01-01 46136
2001-01-01 45693
2002-01-01 46257
2003-01-01 46931
2004-01-01 49154
2005-01-01 49660
2006-01-01 52007
2007-01-01 55111
2008-01-01 56500
2009-01-01 56045
2010-01-01 54459
2011-01-01 56472
2012-01-01 51516
2013-01-01 56457
2014-01-01 56407
2015-01-01 57378
2016-01-01 62065
2017-01-01 66816
2018-01-01 64251
2019-01-01 68255
2020-01-01 72251
2021-01-01 74313
2022-01-01 77220

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