Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, MN
Series ID MHICILBMN27051A052NCEN
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 3:13 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 19083
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22794
1994-01-01 .
1995-01-01 25110
1996-01-01 .
1997-01-01 27790
1998-01-01 28931
1999-01-01 31473
2000-01-01 33305
2001-01-01 33212
2002-01-01 34390
2003-01-01 34848
2004-01-01 35665
2005-01-01 35047
2006-01-01 35020
2007-01-01 36082
2008-01-01 35552
2009-01-01 39757
2010-01-01 40462
2011-01-01 40179
2012-01-01 43567
2013-01-01 44961
2014-01-01 43661
2015-01-01 45963
2016-01-01 47388
2017-01-01 46249
2018-01-01 50282
2019-01-01 49481
2020-01-01 62869
2021-01-01 55673
2022-01-01 62000
2023-01-01 66807

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