Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, MN
Series ID MHICILBMN27041A052NCEN
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 1:11 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 21380
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25773
1994-01-01 .
1995-01-01 28471
1996-01-01 .
1997-01-01 31439
1998-01-01 32838
1999-01-01 34934
2000-01-01 36560
2001-01-01 36755
2002-01-01 37815
2003-01-01 39474
2004-01-01 41050
2005-01-01 39424
2006-01-01 40661
2007-01-01 41201
2008-01-01 45506
2009-01-01 40572
2010-01-01 45605
2011-01-01 46341
2012-01-01 49795
2013-01-01 48740
2014-01-01 49030
2015-01-01 52422
2016-01-01 51812
2017-01-01 58902
2018-01-01 56170
2019-01-01 63921
2020-01-01 66916
2021-01-01 61043
2022-01-01 67543

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