Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clay County, MN
Series ID MHICIUBMN27027A052NCEN
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 1:11 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 28056
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33521
1994-01-01 .
1995-01-01 37173
1996-01-01 .
1997-01-01 40665
1998-01-01 42447
1999-01-01 41051
2000-01-01 43638
2001-01-01 42072
2002-01-01 42600
2003-01-01 43968
2004-01-01 46050
2005-01-01 46946
2006-01-01 47730
2007-01-01 53747
2008-01-01 51736
2009-01-01 50586
2010-01-01 51920
2011-01-01 56038
2012-01-01 54792
2013-01-01 57149
2014-01-01 59763
2015-01-01 63883
2016-01-01 64121
2017-01-01 64252
2018-01-01 70249
2019-01-01 69743
2020-01-01 80992
2021-01-01 73160
2022-01-01 83812

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