Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yellow Medicine County, MN

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yellow Medicine County, MN
Series ID MHICILBMN27173A052NCEN
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 1:54 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 20372
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24665
1994-01-01 .
1995-01-01 26717
1996-01-01 .
1997-01-01 29329
1998-01-01 30262
1999-01-01 32503
2000-01-01 33808
2001-01-01 32838
2002-01-01 33002
2003-01-01 34029
2004-01-01 36834
2005-01-01 35902
2006-01-01 37931
2007-01-01 40649
2008-01-01 42600
2009-01-01 42193
2010-01-01 43101
2011-01-01 43493
2012-01-01 50600
2013-01-01 46346
2014-01-01 47867
2015-01-01 47590
2016-01-01 50689
2017-01-01 49279
2018-01-01 51650
2019-01-01 55472
2020-01-01 54111
2021-01-01 58481
2022-01-01 60314

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