Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Norman County, MN
Series ID MHICILBMN27107A052NCEN
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 2:33 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 20177
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24878
1994-01-01 .
1995-01-01 23917
1996-01-01 .
1997-01-01 26321
1998-01-01 27984
1999-01-01 30487
2000-01-01 32117
2001-01-01 31551
2002-01-01 30872
2003-01-01 33772
2004-01-01 33668
2005-01-01 32451
2006-01-01 35363
2007-01-01 34822
2008-01-01 38313
2009-01-01 40201
2010-01-01 38767
2011-01-01 40668
2012-01-01 41585
2013-01-01 41105
2014-01-01 48170
2015-01-01 46917
2016-01-01 45828
2017-01-01 46123
2018-01-01 44185
2019-01-01 51643
2020-01-01 44214
2021-01-01 55134
2022-01-01 58280
2023-01-01 56127

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