Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pembina County, ND
Series ID MHICILBND38067A052NCEN
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 2:33 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 23299
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27875
1994-01-01 .
1995-01-01 29014
1996-01-01 .
1997-01-01 31737
1998-01-01 33725
1999-01-01 34943
2000-01-01 36265
2001-01-01 36057
2002-01-01 35862
2003-01-01 36556
2004-01-01 34837
2005-01-01 34893
2006-01-01 38086
2007-01-01 39077
2008-01-01 42686
2009-01-01 42264
2010-01-01 44252
2011-01-01 51512
2012-01-01 44065
2013-01-01 49371
2014-01-01 50828
2015-01-01 55546
2016-01-01 55011
2017-01-01 51095
2018-01-01 53316
2019-01-01 54055
2020-01-01 54355
2021-01-01 57085
2022-01-01 61046
2023-01-01 67061

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