NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Boyd County, NE Series ID: MHICILBNE31015A052NCEN 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 2022-01-01 Last Updated: 2023-12-14 1:11 PM 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 15207 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 18179 1994-01-01 . 1995-01-01 18179 1996-01-01 . 1997-01-01 19994 1998-01-01 19240 1999-01-01 23505 2000-01-01 24541 2001-01-01 24622 2002-01-01 23476 2003-01-01 26012 2004-01-01 25225 2005-01-01 24443 2006-01-01 25912 2007-01-01 27248 2008-01-01 29177 2009-01-01 29428 2010-01-01 31449 2011-01-01 32800 2012-01-01 34207 2013-01-01 36294 2014-01-01 35813 2015-01-01 38484 2016-01-01 37052 2017-01-01 38896 2018-01-01 38192 2019-01-01 41169 2020-01-01 43678 2021-01-01 49599 2022-01-01 47748