Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grand Forks County, ND
Series ID MHICIUBND38035A052NCEN
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 27688
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32912
1994-01-01 .
1995-01-01 34826
1996-01-01 .
1997-01-01 38778
1998-01-01 40714
1999-01-01 38725
2000-01-01 40759
2001-01-01 40172
2002-01-01 40234
2003-01-01 41187
2004-01-01 41597
2005-01-01 43592
2006-01-01 42138
2007-01-01 46864
2008-01-01 50719
2009-01-01 45114
2010-01-01 48846
2011-01-01 48579
2012-01-01 47335
2013-01-01 52693
2014-01-01 54060
2015-01-01 55693
2016-01-01 55792
2017-01-01 54818
2018-01-01 57593
2019-01-01 60465
2020-01-01 61015
2021-01-01 70735
2022-01-01 70653
2023-01-01 76286

Subscribe to the FRED newsletter


Follow us

Back to Top