Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Eddy County, ND
Series ID MHICIUBND38027A052NCEN
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 2:31 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 21878
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26379
1994-01-01 .
1995-01-01 27361
1996-01-01 .
1997-01-01 29379
1998-01-01 30544
1999-01-01 30679
2000-01-01 32459
2001-01-01 31846
2002-01-01 32720
2003-01-01 35278
2004-01-01 34431
2005-01-01 35570
2006-01-01 38010
2007-01-01 38723
2008-01-01 41951
2009-01-01 41288
2010-01-01 43251
2011-01-01 46469
2012-01-01 46836
2013-01-01 51440
2014-01-01 51043
2015-01-01 52704
2016-01-01 58727
2017-01-01 55130
2018-01-01 56862
2019-01-01 60677
2020-01-01 62844
2021-01-01 64489
2022-01-01 65173
2023-01-01 75174

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