Sierra Leone cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats
Last update : 20 January 2026.
Below is a list of 100 prominent cities in Sierra Leone. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 14029 places in Sierra Leone that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Sierra Leone is Freetown.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2404067 | Sawkta | Sawkta | SL | Northern Province | 8.6323 | -13.2025 | 3452 | Africa/Freetown | populated place | ||
| 9880599 | Funkede | Funkede | SL | Northern Province | 9.13268 | -12.98815 | 0 | Africa/Freetown | populated place | ||
| 2410608 | Bakando | Bakando | SL | Eastern Province | 8.9537 | -10.78667 | 0 | Africa/Freetown | populated place | ||
| 2404389 | Pulunye | Pulunye | SL | Southern Province | 7.82041 | -12.61627 | 0 | Africa/Freetown | populated place | ||
| 10026673 | Dondoya | Dondoya | SL | Northern Province | 9.27535 | -11.45521 | 0 | Africa/Freetown | populated place | ||
| 2405763 | Masenkan | SL | Northern Province | 9.31667 | -11.83333 | 0 | Africa/Freetown | populated place | |||
| 2404924 | Naiahun | Naiahun | SL | Eastern Province | 7.81916 | -11.09737 | 0 | Africa/Freetown | populated place | ||
| 2402985 | Wundefili | Wundefili | SL | Northern Province | 9.68418 | -12.47556 | 0 | Africa/Freetown | populated place | ||
| 2408675 | Gorahun | Gorahun | SL | Eastern Province | 8.17127 | -10.33778 | 0 | Africa/Freetown | populated place | ||
| 10046351 | Gondama | Gondama | SL | Eastern Province | 8.63125 | -11.20483 | 0 | Africa/Freetown | populated place | ||
| 9875469 | Teyama | Teyama | SL | Eastern Province | 7.79461 | -11.14363 | 0 | Africa/Freetown | populated place | ||
| 10131713 | Kinkimba | Kinkimba | SL | Northern Province | 8.76799 | -12.47181 | 0 | Africa/Freetown | populated place | ||
| 9892166 | Fabengu | Fabengu | SL | Eastern Province | 8.32323 | -10.38132 | 0 | Africa/Freetown | populated place | ||
| 9871772 | Motumahun | Motumahun | SL | Southern Province | 7.73489 | -12.38484 | 0 | Africa/Freetown | populated place | ||
| 2404673 | Pandobu | Pandobu | SL | Eastern Province | 8.21463 | -11.07099 | 0 | Africa/Freetown | populated place | ||
| 9871849 | Masalia | Masalia | SL | Northern Province | 8.47795 | -12.76258 | 0 | Africa/Freetown | populated place | ||
| 9875476 | Kotuma | Kotuma | SL | Eastern Province | 7.81392 | -11.11364 | 0 | Africa/Freetown | populated place | ||
| 2404036 | Seidu | Seidu | SL | Northern Province | 9.01801 | -10.59496 | 2243 | Africa/Freetown | populated place | ||
| 9892120 | Bundeye | Bundeye | SL | Eastern Province | 8.3772 | -10.34693 | 0 | Africa/Freetown | populated place | ||
| 9998194 | Sokurela | Sokurela | SL | Northern Province | 9.15629 | -10.74628 | 0 | Africa/Freetown | populated place | ||
| 2406610 | Magbile | Mabile,Mabilé,Magbile | SL | Northern Province | 8.59665 | -12.69636 | 0 | Africa/Freetown | populated place | ||
| 9880311 | Seduya | Seduya | SL | Northern Province | 9.25266 | -12.88051 | 0 | Africa/Freetown | populated place | ||
| 9893816 | Kongoworo | Kongoworo | SL | Southern Province | 8.14335 | -12.44595 | 0 | Africa/Freetown | populated place | ||
| 2407655 | Koidu | Koidu | SL | Eastern Province | 8.78333 | -10.68333 | 0 | Africa/Freetown | populated place | ||
| 9876243 | Njala | Njala | SL | Southern Province | 7.51175 | -12.17513 | 0 | Africa/Freetown | populated place | ||
| 2403872 | Sheakaia | Sheakaia | SL | Northern Province | 9.16804 | -12.77017 | 0 | Africa/Freetown | populated place | ||
| 2408610 | Gogbebu | Gogbebu,Gugbebu | SL | Southern Province | 7.86799 | -11.57688 | 0 | Africa/Freetown | populated place | ||
| 9880854 | Bena | Bena | SL | Northern Province | 9.13589 | -12.71555 | 0 | Africa/Freetown | populated place | ||
| 2405879 | Marimaia | Marimaia | SL | Northern Province | 9.37215 | -10.8256 | 0 | Africa/Freetown | populated place | ||
| 2404550 | Petema | Petema | SL | Southern Province | 8.03104 | -12.16541 | 0 | Africa/Freetown | populated place | ||
| 2403291 | Tonkolele | Tonkolele | SL | Northern Province | 8.6485 | -11.68343 | 0 | Africa/Freetown | populated place | ||
| 2402696 | Yumbuma | Yumbuma | SL | Eastern Province | 8.1205 | -11.00952 | 0 | Africa/Freetown | populated place | ||
| 2406923 | Lungi | Lungi | SL | Southern Province | 8.13824 | -12.40419 | 0 | Africa/Freetown | populated place | ||
| 10131729 | Matuku | Matuku | SL | Northern Province | 8.97963 | -12.42112 | 0 | Africa/Freetown | populated place | ||
| 2408629 | Guabu | Guabu | SL | Southern Province | 7.89146 | -11.97832 | 0 | Africa/Freetown | populated place | ||
| 2407684 | Koadima | Koadima | SL | Southern Province | 7.66828 | -11.81455 | 0 | Africa/Freetown | populated place | ||
| 2566460 | Forodugu | Forodugu | SL | Northern Province | 8.41916 | -13.05478 | 0 | Africa/Freetown | populated place | ||
| 2408033 | Kangahun | Kangahun | SL | Southern Province | 8.14588 | -12.06988 | 0 | Africa/Freetown | populated place | ||
| 2405862 | Masa | Masa | SL | Southern Province | 7.21805 | -11.9841 | 0 | Africa/Freetown | populated place | ||
| 10035115 | Dian Kawungulu | Dian Kawungulu | SL | Northern Province | 9.24914 | -11.70463 | 0 | Africa/Freetown | populated place | ||
| 2407822 | Keama | Keama | SL | Eastern Province | 8.72094 | -10.68151 | 0 | Africa/Freetown | populated place | ||
| 2402911 | Yangahun | Yangahun | SL | Eastern Province | 8.05687 | -10.9879 | 0 | Africa/Freetown | populated place | ||
| 2409566 | Dulema | Dulema | SL | Northern Province | 9.27726 | -10.84564 | 0 | Africa/Freetown | populated place | ||
| 10133321 | Matinka | Matinka | SL | Northern Province | 8.89105 | -12.07256 | 0 | Africa/Freetown | populated place | ||
| 9873467 | Kotubwama | Kotubwama | SL | Southern Province | 7.95887 | -11.51995 | 0 | Africa/Freetown | populated place | ||
| 10133502 | Petifu | Petifu | SL | Northern Province | 9.23864 | -12.06285 | 0 | Africa/Freetown | populated place | ||
| 2408819 | Giema | Giema | SL | Eastern Province | 7.85664 | -10.62684 | 0 | Africa/Freetown | populated place | ||
| 9891957 | Banda-bengu | Banda-bengu | SL | Eastern Province | 8.42747 | -10.29107 | 0 | Africa/Freetown | populated place | ||
| 2404452 | Polo | Polo | SL | Northern Province | 8.64901 | -11.56529 | 0 | Africa/Freetown | populated place | ||
| 2405366 | Mina | Mina | SL | Southern Province | 7.02294 | -11.62165 | 0 | Africa/Freetown | populated place | ||
| 9893783 | Lekpeyama | Lekpeyama | SL | Southern Province | 8.18831 | -12.42131 | 0 | Africa/Freetown | populated place | ||
| 2409627 | Diamani | Diamani | SL | Southern Province | 7.23099 | -11.90318 | 0 | Africa/Freetown | populated place | ||
| 9871861 | Mowondaia | Mowondaia | SL | Northern Province | 9.96197 | -11.47603 | 0 | Africa/Freetown | populated place | ||
| 2406856 | Mabeki | Mabeki | SL | Northern Province | 8.78097 | -11.8091 | 0 | Africa/Freetown | populated place | ||
| 9979471 | Monti | Monti | SL | Northern Province | 8.96556 | -13.08038 | 0 | Africa/Freetown | populated place | ||
| 2404765 | Nyandehun | Nyandehun | SL | Southern Province | 7.18577 | -11.79981 | 0 | Africa/Freetown | populated place | ||
| 10029455 | Bendugukoro | Bendugukoro | SL | Northern Province | 9.45231 | -11.56227 | 0 | Africa/Freetown | populated place | ||
| 9904180 | Banda | Banda | SL | Southern Province | 8.0473 | -12.00789 | 0 | Africa/Freetown | populated place | ||
| 2404756 | Nyanihun | Nyandehun,Nyanihun | SL | Southern Province | 7.65153 | -12.12713 | 0 | Africa/Freetown | populated place | ||
| 2402839 | Yemberu | Yemberu | SL | Eastern Province | 8.41176 | -10.77712 | 0 | Africa/Freetown | populated place | ||
| 2404782 | Nyolema | Nyalema,Nyolema | SL | Southern Province | 7.86858 | -12.00238 | 0 | Africa/Freetown | populated place | ||
| 2593670 | Taninahun | Taninahun | SL | Southern Province | 7.97545 | -12.46344 | 0 | Africa/Freetown | populated place | ||
| 2403974 | Sembehun | Sembehun | SL | Eastern Province | 8.16491 | -10.52939 | 0 | Africa/Freetown | populated place | ||
| 2409965 | Bumpewo | Bompeworo,Bumpewo | SL | Southern Province | 8.13147 | -11.38479 | 0 | Africa/Freetown | populated place | ||
| 2406253 | Malaforia | Malaforia | SL | Northern Province | 9.59991 | -11.51948 | 0 | Africa/Freetown | populated place | ||
| 2404328 | Rogbom | Rogbom | SL | Northern Province | 8.72131 | -13.12997 | 0 | Africa/Freetown | populated place | ||
| 2409153 | Gbama | Bama,Gbama | SL | Southern Province | 7.16896 | -11.40306 | 0 | Africa/Freetown | populated place | ||
| 9908834 | Yambama | Yambama | SL | Southern Province | 8.17698 | -11.68997 | 0 | Africa/Freetown | populated place | ||
| 2405853 | Masafita | Masafita | SL | Northern Province | 9.88333 | -11.71667 | 0 | Africa/Freetown | populated place | ||
| 9878743 | Foyama | Foyama | SL | Southern Province | 7.66259 | -11.69329 | 0 | Africa/Freetown | populated place | ||
| 2566497 | Ro-poti | Ro-poti | SL | Western Area | 8.46936 | -13.17537 | 0 | Africa/Freetown | populated place | ||
| 2406688 | Mafufure | Mafufure | SL | Northern Province | 9.43479 | -11.94457 | 0 | Africa/Freetown | populated place | ||
| 2406089 | Mandu | Mandu | SL | Southern Province | 7.65046 | -11.81042 | 0 | Africa/Freetown | populated place | ||
| 10038581 | Walahun | Walahun | SL | Eastern Province | 8.57756 | -11.33353 | 0 | Africa/Freetown | populated place | ||
| 9903328 | Ngekekenga | Ngekekenga | SL | Southern Province | 8.07322 | -12.06951 | 0 | Africa/Freetown | populated place | ||
| 2403057 | Wilo | Wilo | SL | Eastern Province | 7.87277 | -10.88572 | 0 | Africa/Freetown | populated place | ||
| 9880872 | Mafafla | Mafafla | SL | Northern Province | 9.19426 | -12.69308 | 0 | Africa/Freetown | populated place | ||
| 9904521 | Dandabu | Dandabu | SL | Southern Province | 8.03434 | -11.80982 | 0 | Africa/Freetown | populated place | ||
| 9880797 | Magbele | Magbele | SL | Northern Province | 9.18464 | -12.75634 | 0 | Africa/Freetown | populated place | ||
| 9871041 | Meikin | Meikin | SL | Southern Province | 7.52125 | -12.61069 | 0 | Africa/Freetown | populated place | ||
| 2405871 | Maka | Maka,Maronko | SL | Northern Province | 8.49599 | -12.90213 | 0 | Africa/Freetown | populated place | ||
| 9880439 | Funkude | Funkude | SL | Northern Province | 9.03764 | -13.29605 | 0 | Africa/Freetown | populated place | ||
| 9880903 | Mafiki | Mafiki | SL | Northern Province | 9.01741 | -12.72397 | 0 | Africa/Freetown | populated place | ||
| 2403720 | Sulima | Sulima | SL | Southern Province | 6.96861 | -11.57654 | 0 | Africa/Freetown | populated place | ||
| 9880605 | Gbane | Gbane | SL | Northern Province | 9.18116 | -12.92507 | 0 | Africa/Freetown | populated place | ||
| 2407477 | Konkowakor | Konkorako,Konkowakor | SL | Eastern Province | 8.52686 | -10.68139 | 0 | Africa/Freetown | populated place | ||
| 2410378 | Baoma | Baoma | SL | Southern Province | 8.042 | -11.72704 | 0 | Africa/Freetown | populated place | ||
| 2405290 | Mokpedeh | Mogbende,Mokpedeh | SL | Southern Province | 8.10559 | -11.49387 | 0 | Africa/Freetown | populated place | ||
| 2407046 | Lowoma | Laoma,Lowoma | SL | Eastern Province | 7.68515 | -11.32177 | 0 | Africa/Freetown | populated place | ||
| 9878617 | Lunge | Lunge | SL | Eastern Province | 8.42879 | -11.10951 | 0 | Africa/Freetown | populated place | ||
| 9903168 | Gbahama | Gbahama | SL | Southern Province | 8.19996 | -12.10962 | 0 | Africa/Freetown | populated place | ||
| 2406802 | Mayabore | Mabore,Mayabore | SL | Northern Province | 9.62544 | -11.90611 | 0 | Africa/Freetown | populated place | ||
| 9916084 | Konia | Konia | SL | Eastern Province | 8.22085 | -10.82267 | 0 | Africa/Freetown | populated place | ||
| 9893008 | Jabama | Jabama | SL | Southern Province | 7.27178 | -11.34445 | 0 | Africa/Freetown | populated place | ||
| 9871990 | Mogborda | Mogborda | SL | Southern Province | 7.90609 | -12.0647 | 0 | Africa/Freetown | populated place | ||
| 9892940 | Moiyan | Moiyan | SL | Western Area | 8.24544 | -13.02659 | 0 | Africa/Freetown | populated place | ||
| 9893642 | Mokombo | Mokombo | SL | Southern Province | 8.05636 | -12.58317 | 0 | Africa/Freetown | populated place | ||
| 9872108 | Gbese | Gbese | SL | Southern Province | 8.37625 | -12.77996 | 0 | Africa/Freetown | populated place | ||
| 2407596 | Komende | Komende | SL | Southern Province | 7.88785 | -11.48556 | 0 | Africa/Freetown | populated place | ||
| 2406730 | Madura | Madura | SL | Northern Province | 8.64531 | -12.22977 | 0 | Africa/Freetown | populated place |
**Exploring the Diverse Landscape of Sierra Leone: A Geographer's Perspective**
Nestled along the shores of the Atlantic Ocean in West Africa, Sierra Leone is a country of rich cultural heritage, stunning natural beauty, and complex geographical features. As a geographer delving into the depths of this vibrant nation, the quest for data regarding its cities, regions, and geographical coordinates offers a fascinating journey through history, ecology, and human geography.
Tracing the Urban Centers**
Sierra Leone's urban landscape is a tapestry woven with the threads of history, commerce, and cultural exchange. From the bustling capital city of Freetown, perched on a series of hills overlooking the sea, to the historic port town of Bonthe on Sherbro Island, each urban center tells a story of resilience and adaptation in the face of social and environmental challenges. For a geographer, obtaining comprehensive data on Sierra Leone's cities, including their regions and departments, is akin to unraveling the intricate patterns of urbanization and spatial organization in this diverse nation.
Mapping the Regions and Districts**
Sierra Leone's territorial landscape is divided into four administrative regions, each comprising several districts that reflect the country's geographical and cultural diversity. From the lush forests of the Northern Province to the savannah grasslands of the Eastern Province, each region offers a unique blend of natural resources and cultural heritage. The quest for data extends beyond numerical coordinates, delving into the nuances of regional governance, resource management, and community development across Sierra Leone's administrative landscape.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as essential tools for mapping Sierra Leone's cities and towns. From the northern city of Kabala, nestled in the Sula Mountains, to the southern town of Pujehun on the banks of the Moa River, each urban center's geographical coordinates offer insights into its climatic conditions, topographical features, and strategic importance. For a geographer, acquiring accurate latitude and longitude data is essential for conducting spatial analysis and understanding the spatial relationships between different settlements within Sierra Leone.
Exploring Ecological Diversity**
Beyond the urban centers and administrative boundaries, Sierra Leone's landscape is a mosaic of diverse ecosystems, from pristine rainforests to coastal mangrove swamps. The country's natural beauty is matched only by its ecological significance, with a wealth of biodiversity that supports livelihoods and sustains communities. As a geographer, the quest for data extends beyond city limits, encompassing the intricate web of ecosystems, land use patterns, and environmental stewardship that define Sierra Leone's identity.
Conclusion: Unveiling Sierra Leone's Geographical Narrative**
In the tapestry of Sierra Leone's geography, the quest for data serves as a compass, guiding geographers through a landscape shaped by centuries of human interaction and environmental adaptation. From the urban centers to the rural hinterlands, each city and town holds a piece of the puzzle, waiting to be discovered and understood. As we unravel Sierra Leone's geographical narrative, let us not only seek coordinates on a map but also embrace the rich tapestry of culture, history, and natural beauty that defines this dynamic and resilient nation.

Download data files for Sierra Leone's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats
Exploring the Geography of Sierra Leone: Unlocking Urban and Regional Data for Sustainable Development
Sierra Leone, located on the west coast of Africa, is a nation marked by a diverse and dynamic geography. From its fertile plains and coastal beaches to its interior hills and rainforests, the geography of Sierra Leone plays a crucial role in shaping its socio-economic activities, infrastructure, and environmental policies. As a geographer exploring the country, obtaining detailed spatial data is crucial for understanding the spatial distribution of its cities, regions, and departments. This article takes a closer look at Sierra Leone’s geography, its administrative divisions, and the importance of acquiring accurate geographic data to enhance development and resource management efforts.
The Geography of Sierra Leone: A Land of Contrast
Sierra Leone's geographical features reflect a rich blend of coastal, forested, and mountainous terrains. The country is bordered by Guinea to the north and east, Liberia to the southeast, and the Atlantic Ocean to the southwest. Sierra Leone’s coastline stretches approximately 400 kilometers, offering sandy beaches and natural harbors such as the Freeport of Freetown, the country’s capital and main port.
The western part of Sierra Leone, including the Peninsula around Freetown, is characterized by rugged hills and dense rainforest. These areas are vital for the country’s biodiversity, supporting a variety of species and rich ecosystems that sustain local livelihoods. Moving inland, the terrain becomes more varied with plateaus and valleys that feed into the country’s numerous rivers, such as the Rokel River, which is essential for both agriculture and transportation.
The geography of Sierra Leone is crucial not only for understanding its environmental zones but also for recognizing how these zones have shaped settlement patterns and economic activities. Agriculture, which dominates the interior regions, relies on fertile land and abundant water sources. The fertile land of the Southern and Eastern provinces supports crops such as rice, cocoa, and palm oil, while the northern regions remain more arid and sparsely populated.
Regions and Administrative Divisions of Sierra Leone
Sierra Leone is divided into five regions: the Western Area, Northern Province, Southern Province, Eastern Province, and the province of the capital, Freetown. These regions are further divided into districts and towns, which collectively serve as the primary administrative units. Understanding the geographical divisions of Sierra Leone is essential for managing resources, governance, and planning future development.
The Western Area, where the capital Freetown is located, is the country’s most urbanized region. Freetown itself, situated on a natural harbor, is not only the largest city but also the political, cultural, and economic hub of Sierra Leone. The city’s location between the Atlantic Ocean and the surrounding mountains gives it a unique setting that influences its urban planning and infrastructure.
The Northern Province, home to major towns like Makeni and Port Loko, is known for its agricultural production and growing industrial sectors. The Southern Province, with cities like Bo and Kenema, is primarily focused on agriculture, including rice and cassava farming. In the Eastern Province, cities such as Koidu are vital mining hubs, as the region is known for its diamond deposits. The diverse geography of these regions impacts the population distribution, economic activities, and infrastructure development in each part of the country.
The Role of Geographic Data in Understanding Sierra Leone’s Development
Geographic data is essential for understanding the spatial relationships between cities, regions, and departments within Sierra Leone. This data, including latitude and longitude coordinates for each city and town, is vital for mapping urban growth, planning infrastructure, and assessing natural resources. Geographic data offers insights into how settlements are distributed across the country and how they interact with their surrounding landscapes, such as rivers, forests, and mountains.
Acquiring data on the cities, regions, and administrative divisions of Sierra Leone is critical for urban planning, environmental conservation, and resource management. Latitude and longitude coordinates for each city enable geographers and planners to accurately map out urban centers, transportation routes, and key infrastructures. Geographic data can be particularly useful for identifying areas with high population density, areas in need of infrastructure improvements, and regions requiring greater access to essential services such as healthcare and education.
Obtaining geographic data in multiple formats, such as CSV, SQL, JSON, and XML, provides flexibility in how the data can be analyzed and shared. These formats allow geospatial data to be integrated into Geographic Information Systems (GIS), making it easier to visualize patterns, conduct spatial analyses, and develop strategies for sustainable development and resource management.
Practical Applications of Geographic Data in Sierra Leone
Geospatial data has a wide range of practical applications in Sierra Leone, particularly in areas such as urban development, environmental management, and agriculture. For urban planners, geographic data helps to identify areas suitable for infrastructure development, such as roads, housing, schools, and hospitals. By analyzing the spatial distribution of urban areas, planners can ensure that services are efficiently distributed and that growing cities are equipped to handle increasing populations.
In Sierra Leone’s agricultural regions, geographic data plays a critical role in identifying areas with the most fertile land and the best access to water resources. By using GIS tools to track changes in land use, assess soil fertility, and monitor climate conditions, farmers and policymakers can make better decisions about crop selection, irrigation methods, and sustainable farming practices.
Additionally, geographic data is essential for environmental conservation in Sierra Leone. The country’s rich natural resources, including rainforests, wetlands, and wildlife, require careful monitoring to ensure their preservation. Geographic data can help monitor deforestation, track wildlife migration, and assess the health of ecosystems. By mapping areas that are under threat from human activity, geographic data aids in the creation of protected areas and conservation strategies that balance development with environmental protection.
Unlocking Sierra Leone’s Potential Through Spatial Data
As Sierra Leone continues to develop its infrastructure and economy, geographic data plays a crucial role in guiding decision-making and ensuring sustainable growth. Obtaining detailed geographic data on the country’s cities, regions, and departments is essential for developing effective policies and strategies that promote long-term prosperity while safeguarding natural resources.
Having access to geographic data in formats like CSV, SQL, JSON, and XML allows various stakeholders—government agencies, non-governmental organizations, businesses, and researchers—to leverage this data for practical purposes. Whether for urban development, agriculture, environmental conservation, or business expansion, geographic data provides the foundation for making informed decisions that benefit the country’s social, economic, and environmental well-being.
Conclusion
Sierra Leone’s geography, with its mix of coastal, agricultural, and mountainous regions, offers both opportunities and challenges for urbanization, resource management, and environmental conservation. By obtaining detailed geographic data on cities, regions, and natural features, stakeholders can gain valuable insights into how these elements interact and contribute to the nation’s development. With data available in flexible formats such as CSV, SQL, JSON, and XML, the potential for comprehensive geographic analysis and informed decision-making is immense. Geographic data is a powerful tool for unlocking the full potential of Sierra Leone and ensuring that its growth is sustainable and inclusive.