South Africa Population: Mid Year: Limpopo: Female: 30 to 34 Years data was reported at 243,676.000 Person in 2018. This records a decrease from the previous number of 246,282.718 Person for 2017. South Africa Population: Mid Year: Limpopo: Female: 30 to 34 Years data is updated yearly, averaging 184,705.852 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 246,282.718 Person in 2017 and a record low of 161,686.838 Person in 2001. South Africa Population: Mid Year: Limpopo: Female: 30 to 34 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

As of 2023, South Africa's population increased and counted approximately 62.3 million inhabitants in total, of which the majority inhabited Gauteng, KwaZulu-Natal, and the Western-Eastern Cape. Gauteng (includes Johannesburg) is the smallest province in South Africa, though highly urbanized with a population of over 16 million people according to the estimates. Cape Town, on the other hand, is the largest city in South Africa with nearly 3.43 million inhabitants in the same year, whereas Durban counted 3.12 million citizens. However, looking at cities including municipalities, Johannesburg ranks first. High rate of young population South Africa has a substantial population of young people. In 2024, approximately 34.3 percent of the people were aged 19 years or younger. Those aged 60 or older, on the other hand, made-up over 10 percent of the total population. Distributing South African citizens by marital status, approximately half of the males and females were classified as single in 2021. Furthermore, 29.1 percent of the men were registered as married, whereas nearly 27 percent of the women walked down the aisle. Youth unemployment Youth unemployment fluctuated heavily between 2003 and 2022. In 2003, the unemployment rate stood at 36 percent, followed by a significant increase to 45.5 percent in 2010. However, it fluctuated again and as of 2022, over 51 percent of the youth were registered as unemployed. Furthermore, based on a survey conducted on the worries of South Africans, some 64 percent reported being worried about employment and the job market situation.

South Africa Population: 15 to 64 Years: Limpopo data was reported at 3,743.613 Person th in Sep 2018. This records an increase from the previous number of 3,730.833 Person th for Jun 2018. South Africa Population: 15 to 64 Years: Limpopo data is updated quarterly, averaging 3,434.088 Person th from Mar 2008 (Median) to Sep 2018, with 43 observations. The data reached an all-time high of 3,743.613 Person th in Sep 2018 and a record low of 3,060.027 Person th in Mar 2008. South Africa Population: 15 to 64 Years: Limpopo data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G001: Population.

3,402 (thousand) in 2012Q4.

South Africa Population: Mid Year: Limpopo: 25 to 29 Years data was reported at 524,842.000 Person in 2018. This records an increase from the previous number of 524,307.733 Person for 2017. South Africa Population: Mid Year: Limpopo: 25 to 29 Years data is updated yearly, averaging 449,611.314 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 524,842.000 Person in 2018 and a record low of 320,489.715 Person in 2001. South Africa Population: Mid Year: Limpopo: 25 to 29 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

WorldPop produces estimates of populations with age/sex breakdowns for each 100m x 100m grid square on the planet.Poputation data is gathered from worldpop organization.

South Africa Population: Mid Year: Limpopo: Male: 30 to 34 Years data was reported at 241,053.000 Person in 2018. This records an increase from the previous number of 231,437.278 Person for 2017. South Africa Population: Mid Year: Limpopo: Male: 30 to 34 Years data is updated yearly, averaging 156,289.813 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 241,053.000 Person in 2018 and a record low of 114,165.135 Person in 2001. South Africa Population: Mid Year: Limpopo: Male: 30 to 34 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

Eastern Cape had the largest share of women in the total population in South Africa. In 2022, 52.7 percent of the people in the province were women. Limpopo and KwaZulu-Natal followed closely, with a share of 52.5 and 52.1 percent, respectively. In absolute terms, Gauteng had the largest number of women residing there, at 8.1 million.

South Africa Population: Mid Year: Limpopo: Male: Above 80 Years data was reported at 13,843.000 Person in 2018. This records a decrease from the previous number of 13,950.076 Person for 2017. South Africa Population: Mid Year: Limpopo: Male: Above 80 Years data is updated yearly, averaging 14,052.528 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 14,464.892 Person in 2011 and a record low of 9,481.826 Person in 2001. South Africa Population: Mid Year: Limpopo: Male: Above 80 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

The ‘South African Population Research Infrastructure Network’ (SAPRIN) is a national research infrastructure funded through the Department of Science and Innovation and hosted by the South African Medical Research Council. One of SAPRIN’s initial goals has been to harmonise and share the longitudinal data from the three current Health and Demographic Surveillance System (HDSS) Nodes. These long-standing nodes are the MRC/Wits University Agincourt HDSS in Bushbuckridge District, Mpumalanga, established in 1993, with a population of 113 113 people; the University of Limpopo DIMAMO HDSS in the Capricorn District of Limpopo, established in 1996, with a current population of 38 479; and the Africa Health ResearchInstitute (AHRI) HDSS in uMkhanyakude District, KwaZulu-Natal, established in 2000, with a current population of 139 250. The data on this Repository is not the result of a single questionnaire but is a result of harmonised data from three different sites longitudinally collected over more than twenty years using different questionnaires that varied over time and site.

Tarebia granifera and other benthic snails abundances and associated Water Quality at selected sites of easterly flowing rivers in South Africa

https://doi.org/10.5061/dryad.w0vt4b90c

Description of the data and file structure

The data for this paper is all within a single Excel file. Each tab in the file is associated with a different metric across the 19 sites. These include Abundance, density and percentage contribution of size classes to a population and/or species to a community. Site names correspond to those used in the article.

Site-Specific Information - Relevant to all data sheets in the Excel file

1.) Numbers in parentheses refer to the year the site was sampled.

2.) Four letter site code refers to the specific river: PHON = Phongolo River, OLIF = Olifants River, LIMP = Limpopo River, MOGA = Mogalakwena River, LUVU = Luvuvhu River, G-LETA = Groot Letaba River, LETA = Letaba River, SHIN = Shingwedzi River.

3.) Number following the site code indicates upstr...

South Africa Population: Mid Year: Limpopo: 30 to 34 Years data was reported at 484,729.000 Person in 2018. This records an increase from the previous number of 477,719.996 Person for 2017. South Africa Population: Mid Year: Limpopo: 30 to 34 Years data is updated yearly, averaging 340,995.666 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 484,729.000 Person in 2018 and a record low of 275,851.973 Person in 2001. South Africa Population: Mid Year: Limpopo: 30 to 34 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

Abstract

The ‘South African Population Research Infrastructure Network’ (SAPRIN) is a national research infrastructure funded through the Department of Science and Innovation and hosted by the South African Medical Research Council. One of SAPRIN’s initial goals has been to harmonise and share the longitudinal data from the three current Health and Demographic Surveillance System (HDSS) Nodes. These long-standing nodes are the MRC/Wits University Agincourt HDSS in Bushbuckridge District, Mpumalanga, established in 1993, with a population of 113 113 people; the University of Limpopo DIMAMO HDSS in the Capricorn District of Limpopo, established in 1996, with a current population of 38 479; and the Africa Health Research Institute (AHRI) HDSS in uMkhanyakude District, KwaZulu-Natal, established in 2000, with a current population of 139 250.

This dataset represents a snapshot of the continually evolving data in the underlying longitudinal databases maintained by the SAPRIN nodes. In these databases the rightmost extend of the individual's surveillance episode is indicated by the data collection date of the last time the individual's membership of a household under surveillance has been confirmed. Each dataset has a right censor date (31 December 2017 for the current version of the dataset) and individual surveillance episodes are terminated at that point if the individual is still under surveillance beyond the cut-off date.

Each individual surveillance episode is associated with a physical location, for internal residency episodes it is the actual place of residence of the individual, for external residence episodes (periods of temporary migration) it is the place of residence of the individual's household. If an individual change their place of residency from one location within the surveillance area to another location still within the surveillance area, the episode at the original location is terminated with a location exit event, and a new episode starts with a location entry event at the destination location. It is also possible for the household the individual is a member of, to change their place of residency in the surveillance area, whilst the individual is externally resident (is a temporary migrant), in which case the individual's external resident episode will also be split with a location exit-entry pair of events.

At every household visit written consent is obtained from the household respondent for continued participation in the surveillance and such consent can be withdrawn. When this happens all household members' surveillance episodes are terminated with a refusal event. It is possible for households to again provide consent to participate in the surveillance after some time, in such cases surveillance events are restarted with a permission event.

As mentioned previously, surveillance episodes are continually extended by the last data collection event if the individual remains under surveillance. In certain cases, individuals may be lost to follow-up and surveillance episodes where the date of last data collection is more than one year prior to the right censor data are terminated as lost to follow up at that last data collection date. Individuals with data collection dates within a year of the right censor date is considered still to be under surveillance up to this last data collection date.

Each surveillance episode contains the identifier of the household the individual is a member of during that episode. Under relatively rare circumstances it is possible for an individual to change household membership whilst still resident at the same location, or to change membership whilst externally resident, in these cases the surveillance episode will be split with a pair of membership end and membership start events. More commonly membership start and end events coincide with location exit and entry events or in- and out-migration events. Memberships also obviously start at birth or enumeration and end at death, refusal to participate or lost to follow-up.

In about half of the cases, individuals have a single episode from first enumeration, birth or in-migration, to their eventual death, out-migration or currently still under surveillance. In the remaining cases, individuals transition from internal residency to external residency via out-migration, or from one location to another via internal migration with a location exit and entry event, or some other rarer form of transition involving membership change, refusal or lost to follow-up. Usually these series of surveillance episodes are continuous in time, with no gaps between episodes, but gaps can form, e.g. when an individual out-migrates and end membership with the household and so is no longer under surveillance, only to return via in-migration at some future date and take up membership with same or different household.

The SAPRIN Individual Surveillance Episodes 2020 Datasets consists of three types of the Demographic surveillance datasets: 1.SAPRIN Individual Surveillance Episodes 2020: Basic Dataset. This dataset contains only the internal and external residency episodes for an individual. 2.SAPRIN Individual Surveillance Episodes 2020: Age-Year-Delivery Dataset. This dataset splits the basic surveillance episodes at calendar year end and at the date when the age in years (birth-day) of an individual changes. In the case of women who have given births, episodes are split at the time of delivery as well. 3.SAPRIN Individual Surveillance Episodes 2020: Detailed Dataset. This dataset adds to the dataset 2 time-varying attributes such as education, employment, marital status and socio-economic status.

Geographic coverage

The South African Population Research Infrastructure Network (SAPRIN) currently represents a network of three Health and Demographic Surveillance System (HDSS) nodes located in rural South Africa, namely: 1) MRC/Wits University Agincourt HDSS in Bushbuckridge District, Mpumalanga, which has collected data since 1993. The nodal website is: http://www.agincourt.co.za; 2) the University of Limpopo DIMAMO HDSS in the Capricorn District of Limpopo, which has collected data since 1996.The nodal website is: N/A; 3) and the Africa Health Research Institute (AHRI) HDSS in uMkhanyakude District, KwaZulu-Natal, which has collected data since 2000.The nodal website is: http://www.ahri.org.

The Agincourt HDSS covers a surveillance area of approximately 420 square kilometres and is located in the Bushbuckridge District, Mpumalanga in the rural northeast of South Africa close to the Mozambique border. At baseline in 1992, 57 600 people were recorded in 8900 households in 20 villages; by 2006, the population had increased to about 70 000 people in 11 700 households. As of December 2017, there were 113 113 people under surveillance of whom 28% were not resident within the surveillance area, with a total of about 2m person years of observation. 33% of the population is under 15 years old. The population is almost exclusively Shangaan-speaking.The Agincourt HDSS has population density of over 200 persons per square kilometre. The Agincourt HDSS extends between latitudes 24° 50´ and 24° 56´S and longitudes 31°08´ and 31°´ 25´ E. The altitude is about 400-600m above sea level.

DIMAMO is located in the Capricorn district, Limpopo Province approximately 40 kilometres from Polokwane, the capital city of Limpopo Province and 15-50 kilometres from the University of Limpopo. The site covers an area of approximately 400 square kilometres . The initial total population observed was about 8 000 but the field site was expanded in 2010. As of December 2017, there were 38 479 people under surveillance, of whom 22% were not resident within the surveillance area, with about 400,000 person years of observation. 30% of the population is under 15 years old. The population is predominantly Sotho speaking. Most households have electricity. Some households have piped water either inside the house or in their yards, but most fetch water from taps situated at strategic points in the villages. Most households have a pit latrine in their yards. The area lies between latitudes and 23°65´ and 23°90´S and longitudes 29°65´ and 29°85´E. The HDSS is located on a high plateau area (approximately 1250 m above sea level) where communities typically consist of households clustered in villages, with access to local land for small-scale food production.

Africa Health Research Institute (AHRI) is situated in the south-east portion of the Umkhanyakude district of KwaZulu-Natal province near the town of Mtubatuba. It is bounded on the west by the Umfolozi-Hluhluwe nature reserve, on the south by the Umfolozi river, on the east by the N2 highway (except form portions where the Kwamsane township stradles the highway) and in the north by the Inyalazi river for portions of the boundary. The surveillance area is approximately 850 square kilometres. As of December 2017, there were 139 250 people under surveillance of whom 28% were not resident within the surveillance area, with about 1.7m person years of observation. 32% of the population is under 15 years old. The population is almost exclusively Zulu-speaking. The surveillance area is typical of many rural areas of South Africa in that while predominantly rural, it contains an urban township and informal peri-urban settlements. The area is characterized by large variations in population densities (20-3000 people per square kilometre). The area lies between latitudes -28°24' and 28°20'N and longitudes 32°10' and 31°58'E.

Analysis unit

Households and individuals

Universe

Households resident in dwellings within the study area will be eligible for inclusion in the household component of SAPRIN. All individuals identified by the household proxy informant as a member of

Â-coefficient estimates for covariates strength and direction of influence are also shown.Covariates considered include; settlement (V), buffalo (preferred prey) (P) and bushmeat poaching (B). Detectability (p) varies with method (M). Estimates of and and associated standard errors (SE). Ø(.) assumes lion occupancy is constant, ΔAICc is the difference in AICc values between each model with the low AICc model, w is the AICc model weight, K is the number of parameters in the model, and −2l is twice the negative log-likelihood.* Indicates covariate has robust impact (â±1.96 x SE not overlapping 0).

South Africa Population: Mid Year: Limpopo: 15 to 19 Years data was reported at 541,501.000 Person in 2018. This records an increase from the previous number of 530,192.534 Person for 2017. South Africa Population: Mid Year: Limpopo: 15 to 19 Years data is updated yearly, averaging 652,492.187 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 704,292.011 Person in 2006 and a record low of 530,192.534 Person in 2017. South Africa Population: Mid Year: Limpopo: 15 to 19 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

Abstract

Changes in socio-economic status and lifestyle behaviors among the adult population in South Africa not only in urban areas but also in rural South Africa, have led to increased prevalence of chronic diseases and associated risk factors, together with an epidemic of some infectious diseases. Researchers at the University of the North (now University of Limpopo Turfloop campus) established The Dikgale centre for Health and Demographic surveillance system in 1996 funded by a core grant from NUFU, Norway.

The broad aim of the Dikgale HDSS is to provide information to improve health of the people in Limpopo province and to assist the local government in making effective health care policy. As few data are available on the prevalence of diseases in rural and peri-urban areas of Limpopo province, the initial objective of the HDSS was to establish a field site where the incidence and prevalence of diseases could be assessed. It was therefore necessary to collect longitudinal demographic data (e.g. mortality, fertility, migration) on the population. To this end, three primary subjects are observed longitudinally in Dikgale HDSS: physical structures (e.g. homesteads, clinics and schools), households and individuals. The information about these subjects, and all related information, was at first stored in Access and later in a single MSSQL Server database, in a truly longitudinal way-i.e. not as a series of cross-sections.

The surveillance area is located in the Capricorn district, Limpopo province approximately 40 km from Polokwane, the capital city of Limpopo province and 15-50 km from the University of Limpopo (Turfloop campus). The site covers an area of approximately 200 square kilometers. The initially the total population was 8000 but the field site was expanded in 2010 and now includes approximately 36,000 people who are members of approximately 7000 households. The households are present in 15 villages of varying sizes. The population is predominantly Northern Sotho speaking. All households have electricity. Some households have piped water either inside the house or in their yards, but most fetch water from taps situated at strategic points in the villages. Most households have a pit latrine in their yards. A large proportion of adults are migrant workers, while others work as farm laborers on neighboring farms, or as domestic workers in nearby towns. Many are pensioners. The unemployment rate in the area is high.

To fulfil the eligibility criteria for the Dikgale HDSS cohort, individuals must be a member of a household within the surveillance area but not necessarily resident within it. Crucially, this means that Dikgale HDSS collects information on resident and non-resident members of households and makes a distinction between membership (self-defined on the basis of links to other household members) and residency (residing at a physical structure within the surveillance area at a particular point in time). Individuals can be members of more than one household at any point in time (e.g. polygamous married men whose wives maintain separate households). To be consistent with similar datasets from other INDEPTH Member centres, this data set contains data from resident members only.

During data collection, households are visited by fieldworkers and information supplied by a single key informant. All births, deaths and migrations of household members are recorded. If household members have moved internally within the surveillance area, such moves are reconciled and the internal migrant retains the original identifier associated with him/her.

Geographic coverage

Demographic surveillance area situated in Capricorn District 40 km north- east of Polokwane the capital city of Limpopo province, and 20-30 km from the University of Limpopo. The area is approximately 310 square kilometers.

Analysis unit

Individual

Universe

• Resident household members of households within the demographic surveillance area.

Immigrants are defined by intention to become resident, but actual residence episodes of less than 180 days are censored. Outmigrants are defined by intention to become resident elsewhere, but actual periods of non-residence less than 180 days are censored. Children born to resident women are considered resident by default, irrespective of actual place of birth. The dataset contains the events of all individuals ever resident during the study period (only covering the original field site of 8000 people (1 January,1996 to 31 December 2013).

Kind of data

Event history data

Frequency of data collection

Once a year

Sampling procedure

This dataset is not based on a sample, it contains information from the complete demographic surveillance area.

Sampling deviation

Not applicable.

Mode of data collection

Proxy Respondent [proxy]

Research instrument

1) Bounded structure registration (BSR) or update (BSU) form - Used to register characteristics of the BS - Updates characteristics of the BS - Information as at previous round is preprinted

2) Household registration (HHR) or update (HHU) form - Used to register characteristics of the HH - Used to update information about the composition of the household - Information pre-printed of composition and all registered households as at previous

3) Household Membership Registration (HMR) or update (HMU) - Used to link individuals to households - Information preprinted of member status observations as at previous

4) Individual registration form (IDR) - Used to uniquely identify each individual - Mainly to ensure members with multiple household memberships are appropriately captured

5) Migration notification form (MGN) - Used to record change in the BS of residency of individuals or households - Migrants are tracked and updated in the database

6) Pregnancy history form (PGH) & pregnancy outcome notification form (PON) - Records details of pregnancies and their outcomes - Only if woman is a new member - Only if woman has never completed WHL or WGH

7) Death notification form (DTN) - Records all deaths that have recently occurred - Includes information about time, place, circumstances and possible cause of death

Cleaning operations

On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validation failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction.

No imputations were done on the resulting micro data set, except for:

a. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG).

b. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event.

c. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG).

d. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event.

e. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an out-migration event (OMG).

Response rate

On an average, it is 99% over the years in all rounds

Sampling error estimates

Not Applicable.

Data appraisal

CentreId MetricTable QMetric Illegal Legal Total Metric RunDate ZA021 MicroDataCleaned Starts 52379 2017-05-20 14:35
ZA021 MicroDataCleaned Transitions 0 110666 110666 0 2017-05-20 14:35
ZA021 MicroDataCleaned Ends 52379 2017-05-20 14:35
ZA021 MicroDataCleaned SexValues 6 110660 110666 0 2017-05-20 14:35
ZA021 MicroDataCleaned DoBValues 12 110654 110666 0 2017-05-20 14:35

The data on this Repository is not the result of a single questionnaire but is a result of harmonised data from three different sites longitudinally collected over more than twenty years using different questionnaires that varied over time and site.

As of 2022, the number of households in South Africa increased and amounted to approximately 18.48 million, roughly 530,000 more than in the previous year. Between 2002 and 2022, the number of families in South Africa grew by around 65 percent. Looking at the number of households from a regional perspective , the Gauteng province (includes the city of Johannesburg) has the bulk of households, with almost 5.6 million residences. Although Gauteng is the smallest region in the country, it is highly urbanized and houses most of the population.

Households headed by women

The number of households headed by women averaged around 42 percent. Rural areas such as the Eastern Cape and Limpopo had a higher proportion of women in charge of their family unit. Urbanized regions, namely Gauteng and the Western Cape, were more likely to be headed by men.

Languages spoken in households

The most spoken language within and outside of South African households was isiZulu, with around 25 percent of the population utilizing it. The English language was the second most common language spoken outside of households, with a share of roughly 17 percent. However, within households, individuals preferred to speak other official languages such as isiXhosa and Afrikaans. South Africa has a diverse range of cultures, and language plays a crucial role in preserving these cultures.

The ‘South African Population Research Infrastructure Network’ (SAPRIN) is a national research infrastructure funded through the Department of Science and Innovation and hosted by the South African Medical Research Council. One of SAPRIN’s initial goals has been to harmonise and share the longitudinal data from the three current Health and Demographic Surveillance System (HDSS) Nodes. These long-standing nodes are the MRC/Wits University Agincourt HDSS in Bushbuckridge District, Mpumalanga, established in 1993, with a population of 113 113 people; the University of Limpopo DIMAMO HDSS in the Capricorn District of Limpopo, established in 1996, with a current population of 38 479; and the Africa Health Research Institute (AHRI) HDSS in uMkhanyakude District, KwaZulu-Natal, established in 2000, with a current population of 139 250. The data on this Repository is not the result of a single questionnaire but is a result of harmonised data from three different sites longitudinally collected over more than twenty years using different questionnaires that varied over time and site.

In the fourth quarter of 2023, approximately 243,000 South Africans residing in the Western Cape were working in the agriculture industry, marking a year-on-year change increase of 11,000 people being employed. The KwaZulu-Natal and Limpopo provinces revealed high numbers of people being employed within the industry as well, at 153,000 and 129,000, respectively.