Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Yellow Medicine County, MN
Series ID MHICIUBMN27173A052NCEN
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 24947
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29213
1994-01-01 .
1995-01-01 32957
1996-01-01 .
1997-01-01 35818
1998-01-01 36574
1999-01-01 37121
2000-01-01 39348
2001-01-01 37731
2002-01-01 37975
2003-01-01 38721
2004-01-01 41886
2005-01-01 41324
2006-01-01 44643
2007-01-01 48554
2008-01-01 50163
2009-01-01 50259
2010-01-01 50089
2011-01-01 49679
2012-01-01 55932
2013-01-01 54276
2014-01-01 54189
2015-01-01 55548
2016-01-01 60691
2017-01-01 57913
2018-01-01 61406
2019-01-01 66676
2020-01-01 70469
2021-01-01 70013
2022-01-01 74772
2023-01-01 73021

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