Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, ND
Series ID MHICIUBND38037A052NCEN
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 1:51 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 18371
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22510
1994-01-01 .
1995-01-01 22507
1996-01-01 .
1997-01-01 23705
1998-01-01 24789
1999-01-01 24879
2000-01-01 28249
2001-01-01 27375
2002-01-01 25910
2003-01-01 28320
2004-01-01 28728
2005-01-01 30171
2006-01-01 31527
2007-01-01 33785
2008-01-01 38015
2009-01-01 33899
2010-01-01 36887
2011-01-01 39038
2012-01-01 42026
2013-01-01 48777
2014-01-01 43329
2015-01-01 45079
2016-01-01 43901
2017-01-01 51196
2018-01-01 45515
2019-01-01 46728
2020-01-01 53960
2021-01-01 53483
2022-01-01 49483

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