Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cass County, ND
Series ID MHICIUBND38017A052NCEN
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 29775
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34992
1994-01-01 .
1995-01-01 38364
1996-01-01 .
1997-01-01 41453
1998-01-01 42540
1999-01-01 41124
2000-01-01 43209
2001-01-01 43526
2002-01-01 44313
2003-01-01 45968
2004-01-01 47105
2005-01-01 45924
2006-01-01 48487
2007-01-01 47364
2008-01-01 49240
2009-01-01 49780
2010-01-01 53541
2011-01-01 56258
2012-01-01 54995
2013-01-01 55874
2014-01-01 56653
2015-01-01 59751
2016-01-01 63471
2017-01-01 68161
2018-01-01 68872
2019-01-01 68485
2020-01-01 65929
2021-01-01 68491
2022-01-01 75459
2023-01-01 80755

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