Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Watonwan County, MN
Series ID MHICIUBMN27165A052NCEN
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 25967
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28921
1994-01-01 .
1995-01-01 31325
1996-01-01 .
1997-01-01 34803
1998-01-01 36094
1999-01-01 36706
2000-01-01 39137
2001-01-01 38242
2002-01-01 38229
2003-01-01 39469
2004-01-01 41695
2005-01-01 42302
2006-01-01 43810
2007-01-01 46404
2008-01-01 47282
2009-01-01 48102
2010-01-01 47638
2011-01-01 50515
2012-01-01 49865
2013-01-01 52058
2014-01-01 52684
2015-01-01 52348
2016-01-01 54819
2017-01-01 55934
2018-01-01 57158
2019-01-01 62988
2020-01-01 68350
2021-01-01 71200
2022-01-01 67516

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