Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, MN
Series ID MHICILBMN27063A052NCEN
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 22530
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25311
1994-01-01 .
1995-01-01 26283
1996-01-01 .
1997-01-01 30119
1998-01-01 30651
1999-01-01 33522
2000-01-01 34833
2001-01-01 34973
2002-01-01 35163
2003-01-01 36802
2004-01-01 39245
2005-01-01 36767
2006-01-01 38779
2007-01-01 39483
2008-01-01 45429
2009-01-01 46489
2010-01-01 47341
2011-01-01 44681
2012-01-01 49284
2013-01-01 51480
2014-01-01 48884
2015-01-01 49331
2016-01-01 53951
2017-01-01 51198
2018-01-01 53611
2019-01-01 52125
2020-01-01 57880
2021-01-01 57667
2022-01-01 59611

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