Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cass County, ND
Series ID MHICILBND38017A052NCEN
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 2:32 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 26040
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31159
1994-01-01 .
1995-01-01 33529
1996-01-01 .
1997-01-01 36274
1998-01-01 37294
1999-01-01 36508
2000-01-01 38082
2001-01-01 38620
2002-01-01 39296
2003-01-01 41095
2004-01-01 42098
2005-01-01 41949
2006-01-01 44288
2007-01-01 42130
2008-01-01 44644
2009-01-01 44190
2010-01-01 48323
2011-01-01 48630
2012-01-01 48995
2013-01-01 50280
2014-01-01 50857
2015-01-01 52141
2016-01-01 55951
2017-01-01 60695
2018-01-01 58898
2019-01-01 59469
2020-01-01 56747
2021-01-01 64211
2022-01-01 64545
2023-01-01 70199

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