Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, MN
Series ID MHICIUBMN27081A052NCEN
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 3:11 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 21616
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26552
1994-01-01 .
1995-01-01 27845
1996-01-01 .
1997-01-01 30664
1998-01-01 32246
1999-01-01 33192
2000-01-01 35869
2001-01-01 34929
2002-01-01 34730
2003-01-01 35705
2004-01-01 37871
2005-01-01 38200
2006-01-01 41725
2007-01-01 41719
2008-01-01 46612
2009-01-01 45290
2010-01-01 46952
2011-01-01 48216
2012-01-01 47651
2013-01-01 52217
2014-01-01 52291
2015-01-01 55818
2016-01-01 51136
2017-01-01 56247
2018-01-01 55704
2019-01-01 61659
2020-01-01 64573
2021-01-01 66575
2022-01-01 70562
2023-01-01 72740

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