Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pembina County, ND
Series ID MHICIUBND38067A052NCEN
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 2:31 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 27810
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32476
1994-01-01 .
1995-01-01 35273
1996-01-01 .
1997-01-01 37996
1998-01-01 39954
1999-01-01 40003
2000-01-01 42283
2001-01-01 42080
2002-01-01 41601
2003-01-01 42001
2004-01-01 40446
2005-01-01 40170
2006-01-01 43852
2007-01-01 46215
2008-01-01 51690
2009-01-01 51249
2010-01-01 52504
2011-01-01 57656
2012-01-01 53233
2013-01-01 58595
2014-01-01 61768
2015-01-01 61820
2016-01-01 63477
2017-01-01 61233
2018-01-01 64216
2019-01-01 65885
2020-01-01 68835
2021-01-01 70533
2022-01-01 77236
2023-01-01 84145

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