Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Divide County, ND
Series ID MHICIUBND38023A052NCEN
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 22798
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29248
1994-01-01 .
1995-01-01 31508
1996-01-01 .
1997-01-01 32444
1998-01-01 32232
1999-01-01 30984
2000-01-01 34059
2001-01-01 32770
2002-01-01 31364
2003-01-01 33058
2004-01-01 33397
2005-01-01 35770
2006-01-01 39034
2007-01-01 40369
2008-01-01 48194
2009-01-01 53949
2010-01-01 53718
2011-01-01 56514
2012-01-01 58651
2013-01-01 70093
2014-01-01 74651
2015-01-01 69565
2016-01-01 66995
2017-01-01 62038
2018-01-01 64838
2019-01-01 68891
2020-01-01 73285
2021-01-01 72554
2022-01-01 78860

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