Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cavalier County, ND
Series ID MHICIUBND38019A052NCEN
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 3:11 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 24059
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30335
1994-01-01 .
1995-01-01 31501
1996-01-01 .
1997-01-01 34368
1998-01-01 36521
1999-01-01 35994
2000-01-01 38978
2001-01-01 37282
2002-01-01 36046
2003-01-01 39671
2004-01-01 37414
2005-01-01 38724
2006-01-01 39481
2007-01-01 42945
2008-01-01 49473
2009-01-01 53426
2010-01-01 51889
2011-01-01 55299
2012-01-01 61313
2013-01-01 58798
2014-01-01 59436
2015-01-01 62564
2016-01-01 57986
2017-01-01 65486
2018-01-01 65758
2019-01-01 70738
2020-01-01 61390
2021-01-01 72046
2022-01-01 82383
2023-01-01 90948

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