Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ray County, MO
Series ID MHICILBMO29177A052NCEN
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 24320
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29148
1994-01-01 .
1995-01-01 30812
1996-01-01 .
1997-01-01 33850
1998-01-01 35676
1999-01-01 38168
2000-01-01 39774
2001-01-01 39912
2002-01-01 40373
2003-01-01 41437
2004-01-01 43362
2005-01-01 43346
2006-01-01 45478
2007-01-01 46411
2008-01-01 47431
2009-01-01 46608
2010-01-01 46097
2011-01-01 47972
2012-01-01 45844
2013-01-01 48403
2014-01-01 47565
2015-01-01 51344
2016-01-01 53113
2017-01-01 56368
2018-01-01 53135
2019-01-01 55101
2020-01-01 55777
2021-01-01 62905
2022-01-01 63792

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