Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mahnomen County, MN
Series ID MHICILBMN27087A052NCEN
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 16298
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19483
1994-01-01 .
1995-01-01 20407
1996-01-01 .
1997-01-01 21523
1998-01-01 22364
1999-01-01 26701
2000-01-01 28165
2001-01-01 26558
2002-01-01 26549
2003-01-01 28409
2004-01-01 27796
2005-01-01 29173
2006-01-01 31621
2007-01-01 31699
2008-01-01 31388
2009-01-01 30469
2010-01-01 33350
2011-01-01 34856
2012-01-01 35065
2013-01-01 36188
2014-01-01 36555
2015-01-01 37122
2016-01-01 37582
2017-01-01 40378
2018-01-01 39288
2019-01-01 43319
2020-01-01 44750
2021-01-01 48807
2022-01-01 47679

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