Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, MN
Series ID MHICIUBMN27063A052NCEN
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 3:11 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 27057
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30214
1994-01-01 .
1995-01-01 32614
1996-01-01 .
1997-01-01 36472
1998-01-01 36889
1999-01-01 38212
2000-01-01 40447
2001-01-01 40074
2002-01-01 40316
2003-01-01 41716
2004-01-01 44517
2005-01-01 43683
2006-01-01 45924
2007-01-01 46950
2008-01-01 51675
2009-01-01 52725
2010-01-01 53161
2011-01-01 49993
2012-01-01 56500
2013-01-01 61314
2014-01-01 58516
2015-01-01 58671
2016-01-01 63747
2017-01-01 60764
2018-01-01 61961
2019-01-01 63705
2020-01-01 67652
2021-01-01 70437
2022-01-01 73777
2023-01-01 77689

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