Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wright County, MO
Series ID MHICIUBMO29229A052NCEN
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 2:31 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 18627
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21174
1994-01-01 .
1995-01-01 23708
1996-01-01 .
1997-01-01 25563
1998-01-01 26846
1999-01-01 26631
2000-01-01 27917
2001-01-01 26569
2002-01-01 26533
2003-01-01 27315
2004-01-01 28323
2005-01-01 29203
2006-01-01 30725
2007-01-01 30821
2008-01-01 31143
2009-01-01 30144
2010-01-01 32246
2011-01-01 29356
2012-01-01 32977
2013-01-01 32330
2014-01-01 34490
2015-01-01 35789
2016-01-01 36057
2017-01-01 36790
2018-01-01 39129
2019-01-01 43692
2020-01-01 44371
2021-01-01 46581
2022-01-01 50394
2023-01-01 53097

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