Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wright County, MO
Series ID MHICILBMO29229A052NCEN
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 2:05 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 14085
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16165
1994-01-01 .
1995-01-01 17470
1996-01-01 .
1997-01-01 19079
1998-01-01 20418
1999-01-01 23305
2000-01-01 23972
2001-01-01 23093
2002-01-01 23044
2003-01-01 24014
2004-01-01 24896
2005-01-01 24373
2006-01-01 25633
2007-01-01 25842
2008-01-01 25979
2009-01-01 25080
2010-01-01 26970
2011-01-01 24658
2012-01-01 27721
2013-01-01 26880
2014-01-01 28710
2015-01-01 29479
2016-01-01 29387
2017-01-01 29592
2018-01-01 31457
2019-01-01 35076
2020-01-01 34671
2021-01-01 36915
2022-01-01 39640
2023-01-01 42127

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