Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Burleigh County, ND
Series ID MHICILBND38015A052NCEN
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 3:13 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 27237
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32216
1994-01-01 .
1995-01-01 35281
1996-01-01 .
1997-01-01 36833
1998-01-01 38144
1999-01-01 38842
2000-01-01 40196
2001-01-01 39982
2002-01-01 41070
2003-01-01 43117
2004-01-01 44595
2005-01-01 43361
2006-01-01 46634
2007-01-01 49233
2008-01-01 50881
2009-01-01 50844
2010-01-01 51639
2011-01-01 53654
2012-01-01 58947
2013-01-01 59280
2014-01-01 62046
2015-01-01 62050
2016-01-01 61710
2017-01-01 65540
2018-01-01 67048
2019-01-01 68900
2020-01-01 64675
2021-01-01 66277
2022-01-01 76876
2023-01-01 78458

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