Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carver County, MN
Series ID MHICILBMN27019A052NCEN
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 37106
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44520
1994-01-01 .
1995-01-01 50904
1996-01-01 .
1997-01-01 55579
1998-01-01 60488
1999-01-01 62066
2000-01-01 65148
2001-01-01 66254
2002-01-01 68056
2003-01-01 69663
2004-01-01 71045
2005-01-01 70097
2006-01-01 73061
2007-01-01 76417
2008-01-01 79102
2009-01-01 72234
2010-01-01 77483
2011-01-01 79920
2012-01-01 80600
2013-01-01 80750
2014-01-01 81930
2015-01-01 88926
2016-01-01 89317
2017-01-01 96741
2018-01-01 96317
2019-01-01 99100
2020-01-01 97577
2021-01-01 98973
2022-01-01 111486

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