Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crow Wing County, MN
Series ID MHICILBMN27035A052NCEN
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 2:33 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 20482
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25199
1994-01-01 .
1995-01-01 27700
1996-01-01 .
1997-01-01 29516
1998-01-01 31466
1999-01-01 34256
2000-01-01 35946
2001-01-01 35291
2002-01-01 36222
2003-01-01 37194
2004-01-01 39401
2005-01-01 39449
2006-01-01 40942
2007-01-01 40317
2008-01-01 43385
2009-01-01 39896
2010-01-01 42613
2011-01-01 42503
2012-01-01 45165
2013-01-01 46148
2014-01-01 48041
2015-01-01 47448
2016-01-01 48208
2017-01-01 50986
2018-01-01 50120
2019-01-01 57615
2020-01-01 52758
2021-01-01 60218
2022-01-01 62674
2023-01-01 69897

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