Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rice County, MN
Series ID MHICILBMN27131A052NCEN
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 27741
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33379
1994-01-01 .
1995-01-01 36129
1996-01-01 .
1997-01-01 39602
1998-01-01 41978
1999-01-01 43662
2000-01-01 45112
2001-01-01 44556
2002-01-01 45197
2003-01-01 46410
2004-01-01 48005
2005-01-01 49478
2006-01-01 53205
2007-01-01 52453
2008-01-01 55089
2009-01-01 52236
2010-01-01 51850
2011-01-01 52145
2012-01-01 56075
2013-01-01 55076
2014-01-01 57177
2015-01-01 55165
2016-01-01 63463
2017-01-01 60996
2018-01-01 61960
2019-01-01 66842
2020-01-01 66083
2021-01-01 65100
2022-01-01 72146

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