Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mower County, MN
Series ID MHICILBMN27099A052NCEN
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 22279
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26306
1994-01-01 .
1995-01-01 28571
1996-01-01 .
1997-01-01 31229
1998-01-01 33086
1999-01-01 34186
2000-01-01 35448
2001-01-01 34828
2002-01-01 35351
2003-01-01 36607
2004-01-01 38237
2005-01-01 40006
2006-01-01 38801
2007-01-01 41531
2008-01-01 43778
2009-01-01 40966
2010-01-01 40161
2011-01-01 43879
2012-01-01 42436
2013-01-01 47947
2014-01-01 43276
2015-01-01 46615
2016-01-01 48764
2017-01-01 52283
2018-01-01 49160
2019-01-01 49968
2020-01-01 54161
2021-01-01 55254
2022-01-01 62815

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