Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rice County, MN
Series ID MHICIUBMN27131A052NCEN
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 1:52 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 32170
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37796
1994-01-01 .
1995-01-01 42216
1996-01-01 .
1997-01-01 45750
1998-01-01 48080
1999-01-01 49647
2000-01-01 52284
2001-01-01 51021
2002-01-01 51789
2003-01-01 52590
2004-01-01 54418
2005-01-01 55517
2006-01-01 57417
2007-01-01 58410
2008-01-01 62157
2009-01-01 59127
2010-01-01 59960
2011-01-01 61417
2012-01-01 62589
2013-01-01 62212
2014-01-01 63457
2015-01-01 64561
2016-01-01 71989
2017-01-01 69026
2018-01-01 72088
2019-01-01 78034
2020-01-01 82519
2021-01-01 77880
2022-01-01 83778

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