Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Freeborn County, MN
Series ID MHICILBMN27047A052NCEN
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 23912
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26745
1994-01-01 .
1995-01-01 27386
1996-01-01 .
1997-01-01 30777
1998-01-01 32138
1999-01-01 33806
2000-01-01 35294
2001-01-01 34851
2002-01-01 35298
2003-01-01 36023
2004-01-01 37431
2005-01-01 36708
2006-01-01 39449
2007-01-01 38973
2008-01-01 43398
2009-01-01 40176
2010-01-01 39650
2011-01-01 41398
2012-01-01 42008
2013-01-01 45507
2014-01-01 43573
2015-01-01 45087
2016-01-01 45438
2017-01-01 47968
2018-01-01 47697
2019-01-01 51685
2020-01-01 56203
2021-01-01 58353
2022-01-01 61335

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