Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Meeker County, MN
Series ID MHICIUBMN27093A052NCEN
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 3:12 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 26821
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31973
1994-01-01 .
1995-01-01 35756
1996-01-01 .
1997-01-01 39222
1998-01-01 40972
1999-01-01 42630
2000-01-01 45550
2001-01-01 44668
2002-01-01 45763
2003-01-01 46231
2004-01-01 48483
2005-01-01 51402
2006-01-01 50624
2007-01-01 53095
2008-01-01 54917
2009-01-01 54447
2010-01-01 52407
2011-01-01 54056
2012-01-01 53316
2013-01-01 58658
2014-01-01 57143
2015-01-01 62479
2016-01-01 64551
2017-01-01 59531
2018-01-01 70279
2019-01-01 67477
2020-01-01 73160
2021-01-01 70747
2022-01-01 81337
2023-01-01 81742

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