Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kittson County, MN
Series ID MHICILBMN27069A052NCEN
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 22850
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26378
1994-01-01 .
1995-01-01 25407
1996-01-01 .
1997-01-01 27916
1998-01-01 30533
1999-01-01 31318
2000-01-01 32465
2001-01-01 30812
2002-01-01 31456
2003-01-01 34183
2004-01-01 33692
2005-01-01 35110
2006-01-01 38974
2007-01-01 35740
2008-01-01 39865
2009-01-01 41755
2010-01-01 40313
2011-01-01 41673
2012-01-01 40519
2013-01-01 44212
2014-01-01 45982
2015-01-01 53580
2016-01-01 45268
2017-01-01 48476
2018-01-01 48760
2019-01-01 57574
2020-01-01 45100
2021-01-01 53629
2022-01-01 57506

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