Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Winona County, MN
Series ID MHICIUBMN27169A052NCEN
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 29014
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33479
1994-01-01 .
1995-01-01 36468
1996-01-01 .
1997-01-01 39378
1998-01-01 41419
1999-01-01 40743
2000-01-01 42651
2001-01-01 41494
2002-01-01 41346
2003-01-01 42127
2004-01-01 44003
2005-01-01 43661
2006-01-01 44295
2007-01-01 47630
2008-01-01 48005
2009-01-01 45590
2010-01-01 44627
2011-01-01 49854
2012-01-01 52628
2013-01-01 53296
2014-01-01 52606
2015-01-01 58286
2016-01-01 60294
2017-01-01 58520
2018-01-01 60611
2019-01-01 67539
2020-01-01 71684
2021-01-01 70666
2022-01-01 71185

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